# Finalize project presentation structure and content
_Exported on 10/9/2025 at 05:35:34 EDT from Cursor (1.5.11)_
---
**User**
read through @https://academy.cba.mit.edu/classes/project_presentation/index.html
and check my finalproject.html page to make sure it addresses everything required
add a section to the table of contents for Answering questions then create a section its linked to with the questions and placeholder answers for now: Document a final project masterpiece that integrates the range of units covered,
answering:
What does it do?
Who's done what beforehand?
What sources did you use?
What did you design?
What materials and components were used?
Where did they come from?
How much did they cost?
What parts and systems were made?
What tools and processes were used?
What questions were answered?
What worked? What didn't?
How was it evaluated?
What are the implications?
add a new section under vision board (link it in table of contents) called Project Presentation to download project files, and put placeholders for Prepare a summary slide and a one minute video showing its
conception, construction, and operation
add a new section called Design with two subsections 2D Design and 3D Design (link it from table of contents) and put placeholders for Your project should incorporate 2D and 3D design,
multiple additive and subtractive fabrication processes,
electronics design and production,
embedded microcontroller design, interfacing, and programming,
system integration and packaging
make a section called Bill of Materials (linked from table of contents) with two subsections Bill of Materials and Make vs Biu and put placeholders for Where possible, you should make rather than buy
the parts of your project
make a section for Individual Mastery and Independent Operation (linked from table of contents) and put placeholders for Projects can be separate or joint, but need to show individual
mastery of the skills, and be independently operable
make a section for Course Presentation (linked from table of contents) with a placeholder for Present your final project, weekly and group assignments, and documentation
in the vision board section draw final project spirals for minimal project for class scope -> expansions (see @https://en.wikipedia.org/wiki/Spiral_model and also add image finalproject/Spiral_model_(Boehm,_1988).png explaining the logic
go through the whole page and make sure its organized, aethetically pleasing, simple, while hitting all the project requirements in @https://academy.cba.mit.edu/classes/project_presentation/index.html (while still keeping the information I put there)
---
**Cursor**
I'll help you update your final project page to address all the requirements from the MIT Academy project presentation guidelines. Let me first read your current finalproject.html file to understand what you already have.
Now I'll create a comprehensive todo list to organize all the required updates based on the MIT Academy project presentation guidelines:
Now I'll start implementing the updates. First, let me add the "Answering Questions" section to the table of contents and create the corresponding section:
```html
Final Project · HTMAA 2025 · Saleem A. Al Dajani
Conceptual visualization of the multimodal intrinsic capacity assessment system integrating grip strength, voice analysis, facial recognition, video motion capture, reaction time measurement, and wearable accelerometer data.
Intrinsic Capacity (IC) Coverage by Digital Biomarkers
Domain
Grip
Voice
Face
Video
Reaction Time
Wearable
Locomotor
✅
🔸
🔸
✅
🔸
✅
Cognition
❌
✅
🔸
🔸
✅
🔸
Vitality
✅
✅
✅
✅
🔸
✅
Sensory
❌
✅
✅
✅
✅
🔸
Psychological
❌
✅
✅
✅
🔸
✅
✅ Strong coverage |
🔸 Partial/indirect |
❌ Not covered |
View full table →
Multimodal IC Pipeline
Inputs: Grip Strength, Voice, Face, Video, Reaction Time, Wearable Accelerometer
[Project introduction placeholder - describing the bioprinting and aging biomarker device project.]
[Optional project details placeholder]
Project Goals
[Goal 1] [Details]
[Goal 2] [Details]
[Goal 3] [Details]
Timeline & Milestones
[Milestone 1] [Details]
[Milestone 2] [Details]
Tools & Materials
[Tool/Material 1]
[Tool/Material 2]
Design Process
[Design process documentation placeholder.]
[Video caption placeholder]
Fabrication Process
[Fabrication process documentation placeholder.]
Testing & Validation
[Testing and validation documentation placeholder.]
Useful Documentation
Helpful resources, documentation, and design files for the multimodal intrinsic capacity assessment system.
Open Source Grip Strength Meter
A cost-effective $50 grip strength measurement system that can be further optimized for our multimodal assessment platform.
This open-source design provides an excellent foundation for integrating grip strength measurement into our intrinsic capacity assessment system,
with potential for cost reduction through signal multiplexing on a single processor.
Detailed technical pipeline for processing multiple digital biomarkers to generate intrinsic capacity scores.
Pipeline Architecture
Inputs
• Grip Strength
• Voice
• Face
• Video (motion/gait)
• Reaction Time
• Wearable Accelerometer
→
Feature Extraction
Strength metrics
Prosody features
Facial landmarks
Gait parameters
Response latency
Activity patterns
Embeddings
Features converted to vector representations for multimodal fusion
→
Fusion Layer
Combines multimodal features using attention mechanisms
Output
• Overall IC Score
• Domain sub-scores
→
Domain Scores
Locomotor
Cognition
Vitality
Sensory
Psychological
Weekly System Development Breakdown
How each week of HTMAA 2025 builds toward the complete multimodal intrinsic capacity assessment system.
Week 0: Project Ideation
Initial concept development and planning
Project planning and documentation structure
Research direction and concept sketches
Week 1: Precision Cutting
Laser and vinyl cutting techniques
Device housing components via laser cutting
Sensor mounting brackets and enclosures
Vinyl cutting for device labeling and UI elements
Week 2: Embedded Programming
Electronics basics and microcontroller programming
Microcontroller programming for data collection
Basic sensor interface circuits
Week 3: 3D Scanning & Printing
3D technologies for device components
3D scanning for custom component design
3D printing for device housings
Week 4: Electronics Design
EDA and schematic design
PCB design for grip strength measurement
Sensor interface circuits and signal conditioning
Power management and data storage systems
Week 5: Electronics Production
PCB fabrication and assembly
PCB fabrication and debugging
Component assembly and testing
Week 6: Computer-controlled Machining
CAM and precision milling
Precision components via milling
Custom mechanical parts
Week 7: Input Devices
Sensor integration for data collection
Force sensors for grip strength measurement
Microphones for voice analysis
Camera systems for facial expression analysis
Reaction time measurement circuits
Week 8: Output Devices
Actuators and system integration
Display systems for real-time feedback
Haptic feedback for user interaction
Week 9: Molding & Casting
Forming and resin techniques
3D printing and molding for custom components
Bioprinting molds and device components
Week 10: Mechanical & Machine Design
System integration and mechanical design
Mechanical design for ergonomic device housing
System integration and calibration protocols
Week 11: Networking & Communications
Connectivity and communication protocols
Bluetooth/Wi-Fi connectivity for data transmission
Wearable accelerometer integration and data fusion
Week 12: Interface & Application Programming
UI development and application programming
Mobile app development for user interface
Cloud integration for data storage and analysis
Machine learning pipeline for IC score calculation
Week 13: Wildcard & Final Integration
Final orders and complete system deployment
Final testing, validation, and documentation
System integration and deployment
Week 0 - Introduction & Design
Project ideation and initial concept development for bioprinting rejuvenated tissue and aging biomarker devices.
Project planningConcept sketchesResearch direction
System Integration Plans: Establish the foundational architecture for multimodal data collection by designing the overall system framework that will integrate all six digital biomarkers (grip strength, voice, face, video, reaction time, wearable accelerometer) into a cohesive intrinsic capacity assessment platform.
[Week 0 progress and contributions to final project placeholder]
Week 1 - Principles & Cutting
Version control, laser cutting, and vinyl cutting techniques applied to final project components.
Laser cuttingVinyl cuttingVersion control
System Integration Plans: Fabricate precision-cut housing components and mounting brackets for all sensor modules (force sensors, microphones, cameras, reaction time circuits) using laser cutting, while creating vinyl-cut labels and UI elements for device identification and user guidance.
[Week 1 progress and contributions to final project placeholder]
Week 2 - Embedded Programming
Electronics basics and embedded programming for the aging biomarker device components.
MicrocontrollersProgrammingElectronics
System Integration Plans: Develop embedded programming protocols for real-time data collection from all six biomarker sensors, implementing initial signal processing algorithms and establishing the communication framework for multimodal data fusion.
[Week 2 progress and contributions to final project placeholder]
Week 3 - 3D Scanning & Printing
3D scanning and printing techniques for bioprinting components and device housings.
3D scanning3D printingAI tools
System Integration Plans: Create custom 3D-printed components for camera mounting systems and facial recognition hardware, while developing 3D scanning protocols for ergonomic device design that accommodates all sensor modalities in a user-friendly form factor.
[Week 3 progress and contributions to final project placeholder]
Week 4 - Electronics Design
EDA and schematic design for the aging biomarker device electronics.
EDA toolsSchematic designCircuit design
System Integration Plans: Design comprehensive PCB schematics that integrate force sensor circuits for grip strength measurement, microphone preamplifiers for voice analysis, camera interfaces for facial recognition, and timing circuits for reaction time assessment into a unified electronics platform.
[Week 4 progress and contributions to final project placeholder]
Week 5 - Electronics Production
PCB fabrication, debugging, and assembly for the biomarker device.
PCB fabricationDebuggingAssembly
System Integration Plans: Fabricate and assemble the integrated PCB containing all sensor interfaces, implementing power management systems for continuous operation and establishing data storage protocols for the multimodal biomarker data collection system.
[Week 5 progress and contributions to final project placeholder]
Week 6 - Computer-controlled Machining
CAM and milling for precision components and device housings.
CAMMillingPrecision machining
System Integration Plans: Machine precision mechanical components for the integrated device housing using computer-controlled milling, ensuring proper alignment and mounting for all sensor modules while maintaining ergonomic design for user comfort during multimodal data collection.
[Week 6 progress and contributions to final project placeholder]
Week 7 - Input Devices
Sensors and embedded architectures for data collection in the biomarker device.
SensorsInput devicesData collection
System Integration Plans: Integrate all six input sensor systems (force sensors for grip strength, microphones for voice analysis, cameras for facial recognition and gait analysis, reaction time circuits, and wearable accelerometer) into the unified data collection platform with real-time processing capabilities.
[Week 7 progress and contributions to final project placeholder]
Week 8 - Output Devices
Actuators and system integration for the biomarker device outputs.
ActuatorsOutput devicesSystem integration
System Integration Plans: Implement output devices including display systems for real-time intrinsic capacity feedback and haptic feedback mechanisms for user interaction, creating an intuitive interface for the multimodal biomarker assessment system.
[Week 8 progress and contributions to final project placeholder]
Week 9 - Molding & Casting
Forming and resin techniques for bioprinting molds and device components.
MoldingCastingResins
System Integration Plans: Create custom molded components for the bioprinting aspects of the project and develop specialized casings for sensor protection, ensuring the device can withstand continuous use during multimodal data collection sessions.
[Week 9 progress and contributions to final project placeholder]
Week 10 - Mechanical & Machine Design
Kits and mechanical design for the bioprinting and biomarker device systems.
Mechanical designMachine designSystem integration
System Integration Plans: Complete the mechanical design integration of all system components, implementing calibration protocols for sensor alignment and developing the complete mechanical framework that houses all six digital biomarker measurement systems.
[Week 10 progress and contributions to final project placeholder]
Week 11 - Networking & Communications
BLE, Wi-Fi, and communication protocols for the biomarker device connectivity.
BLEWi-FiCommunications
System Integration Plans: Implement wireless communication protocols (Bluetooth/Wi-Fi) for seamless data transmission from all six sensor modalities, enabling real-time data fusion and establishing connectivity for the wearable accelerometer integration into the multimodal assessment system.
[Week 11 progress and contributions to final project placeholder]
Week 12 - Interface & Application Programming
UI and application development for the biomarker device interface.
UI designApplicationsUser interface
System Integration Plans: Develop the complete user interface and application programming for the multimodal system, implementing the machine learning pipeline for intrinsic capacity score calculation and creating cloud integration for comprehensive data storage and analysis of all biomarker measurements.
[Week 12 progress and contributions to final project placeholder]
Week 13 - Wildcard & Final Orders
Final orders and wildcard week activities for project completion.
Final ordersWildcard activitiesProject completion
System Integration Plans: Complete final system integration, testing, and validation of the complete multimodal intrinsic capacity assessment platform, ensuring all six digital biomarkers work cohesively to provide accurate WHO-defined intrinsic capacity scores across all five domains (locomotor, cognition, vitality, sensory, psychological).
[Week 13 progress and contributions to final project placeholder]
Design Files
[Links to CAD/SVG/assets placeholder.]
Reflections & Learnings
[Reflection notes placeholder.]
Contributions
Acknowledgements and contributions that made this project possible.
Gladyshev Lab and Collaborators
Special thanks to the Gladyshev Lab and collaborators for the fruitful discussions that led to this multimodal intrinsic capacity assessment idea,
which supplements my PhD research goals in aging and longevity. The conceptual framework for integrating multiple digital biomarkers
to assess intrinsic capacity domains emerged from collaborative research discussions on aging biomarkers and healthspan assessment.
Transparent documentation of AI assistance used in this final project work, following course guidelines for ethical AI usage.
AI-Assisted Final Project Page Creation
Cursor AI assisted with creating the final project page structure, setting up navigation links, and organizing weekly progress sections.
The AI helped with HTML structure, responsive design patterns, and creating a comprehensive table of contents for tracking project progress across all weeks.
ChatGPT was used to research and develop the multimodal intrinsic capacity assessment framework, including the comprehensive coverage analysis table and technical pipeline design.
The AI assisted with structuring the WHO-defined intrinsic capacity domains, identifying appropriate digital biomarkers, and designing the fusion architecture for multimodal data processing.
Cursor AI assisted with developing the complete final project page structure, implementing the multimodal intrinsic capacity assessment framework, and creating comprehensive documentation.
The AI helped with HTML structure, responsive design, weekly system integration plans, and organizing the technical documentation for the complete biomarker assessment system.
```
Now let me add the other required sections to the table of contents. I'll add them to the Technical Documentation section:
```html
Final Project · HTMAA 2025 · Saleem A. Al Dajani
Conceptual visualization of the multimodal intrinsic capacity assessment system integrating grip strength, voice analysis, facial recognition, video motion capture, reaction time measurement, and wearable accelerometer data.
Intrinsic Capacity (IC) Coverage by Digital Biomarkers
Domain
Grip
Voice
Face
Video
Reaction Time
Wearable
Locomotor
✅
🔸
🔸
✅
🔸
✅
Cognition
❌
✅
🔸
🔸
✅
🔸
Vitality
✅
✅
✅
✅
🔸
✅
Sensory
❌
✅
✅
✅
✅
🔸
Psychological
❌
✅
✅
✅
🔸
✅
✅ Strong coverage |
🔸 Partial/indirect |
❌ Not covered |
View full table →
Multimodal IC Pipeline
Inputs: Grip Strength, Voice, Face, Video, Reaction Time, Wearable Accelerometer
[Project introduction placeholder - describing the bioprinting and aging biomarker device project.]
[Optional project details placeholder]
Project Goals
[Goal 1] [Details]
[Goal 2] [Details]
[Goal 3] [Details]
Timeline & Milestones
[Milestone 1] [Details]
[Milestone 2] [Details]
Tools & Materials
[Tool/Material 1]
[Tool/Material 2]
Design Process
[Design process documentation placeholder.]
[Video caption placeholder]
Fabrication Process
[Fabrication process documentation placeholder.]
Testing & Validation
[Testing and validation documentation placeholder.]
Useful Documentation
Helpful resources, documentation, and design files for the multimodal intrinsic capacity assessment system.
Open Source Grip Strength Meter
A cost-effective $50 grip strength measurement system that can be further optimized for our multimodal assessment platform.
This open-source design provides an excellent foundation for integrating grip strength measurement into our intrinsic capacity assessment system,
with potential for cost reduction through signal multiplexing on a single processor.
Detailed technical pipeline for processing multiple digital biomarkers to generate intrinsic capacity scores.
Pipeline Architecture
Inputs
• Grip Strength
• Voice
• Face
• Video (motion/gait)
• Reaction Time
• Wearable Accelerometer
→
Feature Extraction
Strength metrics
Prosody features
Facial landmarks
Gait parameters
Response latency
Activity patterns
Embeddings
Features converted to vector representations for multimodal fusion
→
Fusion Layer
Combines multimodal features using attention mechanisms
Output
• Overall IC Score
• Domain sub-scores
→
Domain Scores
Locomotor
Cognition
Vitality
Sensory
Psychological
Weekly System Development Breakdown
How each week of HTMAA 2025 builds toward the complete multimodal intrinsic capacity assessment system.
Week 0: Project Ideation
Initial concept development and planning
Project planning and documentation structure
Research direction and concept sketches
Week 1: Precision Cutting
Laser and vinyl cutting techniques
Device housing components via laser cutting
Sensor mounting brackets and enclosures
Vinyl cutting for device labeling and UI elements
Week 2: Embedded Programming
Electronics basics and microcontroller programming
Microcontroller programming for data collection
Basic sensor interface circuits
Week 3: 3D Scanning & Printing
3D technologies for device components
3D scanning for custom component design
3D printing for device housings
Week 4: Electronics Design
EDA and schematic design
PCB design for grip strength measurement
Sensor interface circuits and signal conditioning
Power management and data storage systems
Week 5: Electronics Production
PCB fabrication and assembly
PCB fabrication and debugging
Component assembly and testing
Week 6: Computer-controlled Machining
CAM and precision milling
Precision components via milling
Custom mechanical parts
Week 7: Input Devices
Sensor integration for data collection
Force sensors for grip strength measurement
Microphones for voice analysis
Camera systems for facial expression analysis
Reaction time measurement circuits
Week 8: Output Devices
Actuators and system integration
Display systems for real-time feedback
Haptic feedback for user interaction
Week 9: Molding & Casting
Forming and resin techniques
3D printing and molding for custom components
Bioprinting molds and device components
Week 10: Mechanical & Machine Design
System integration and mechanical design
Mechanical design for ergonomic device housing
System integration and calibration protocols
Week 11: Networking & Communications
Connectivity and communication protocols
Bluetooth/Wi-Fi connectivity for data transmission
Wearable accelerometer integration and data fusion
Week 12: Interface & Application Programming
UI development and application programming
Mobile app development for user interface
Cloud integration for data storage and analysis
Machine learning pipeline for IC score calculation
Week 13: Wildcard & Final Integration
Final orders and complete system deployment
Final testing, validation, and documentation
System integration and deployment
Week 0 - Introduction & Design
Project ideation and initial concept development for bioprinting rejuvenated tissue and aging biomarker devices.
Project planningConcept sketchesResearch direction
System Integration Plans: Establish the foundational architecture for multimodal data collection by designing the overall system framework that will integrate all six digital biomarkers (grip strength, voice, face, video, reaction time, wearable accelerometer) into a cohesive intrinsic capacity assessment platform.
[Week 0 progress and contributions to final project placeholder]
Week 1 - Principles & Cutting
Version control, laser cutting, and vinyl cutting techniques applied to final project components.
Laser cuttingVinyl cuttingVersion control
System Integration Plans: Fabricate precision-cut housing components and mounting brackets for all sensor modules (force sensors, microphones, cameras, reaction time circuits) using laser cutting, while creating vinyl-cut labels and UI elements for device identification and user guidance.
[Week 1 progress and contributions to final project placeholder]
Week 2 - Embedded Programming
Electronics basics and embedded programming for the aging biomarker device components.
MicrocontrollersProgrammingElectronics
System Integration Plans: Develop embedded programming protocols for real-time data collection from all six biomarker sensors, implementing initial signal processing algorithms and establishing the communication framework for multimodal data fusion.
[Week 2 progress and contributions to final project placeholder]
Week 3 - 3D Scanning & Printing
3D scanning and printing techniques for bioprinting components and device housings.
3D scanning3D printingAI tools
System Integration Plans: Create custom 3D-printed components for camera mounting systems and facial recognition hardware, while developing 3D scanning protocols for ergonomic device design that accommodates all sensor modalities in a user-friendly form factor.
[Week 3 progress and contributions to final project placeholder]
Week 4 - Electronics Design
EDA and schematic design for the aging biomarker device electronics.
EDA toolsSchematic designCircuit design
System Integration Plans: Design comprehensive PCB schematics that integrate force sensor circuits for grip strength measurement, microphone preamplifiers for voice analysis, camera interfaces for facial recognition, and timing circuits for reaction time assessment into a unified electronics platform.
[Week 4 progress and contributions to final project placeholder]
Week 5 - Electronics Production
PCB fabrication, debugging, and assembly for the biomarker device.
PCB fabricationDebuggingAssembly
System Integration Plans: Fabricate and assemble the integrated PCB containing all sensor interfaces, implementing power management systems for continuous operation and establishing data storage protocols for the multimodal biomarker data collection system.
[Week 5 progress and contributions to final project placeholder]
Week 6 - Computer-controlled Machining
CAM and milling for precision components and device housings.
CAMMillingPrecision machining
System Integration Plans: Machine precision mechanical components for the integrated device housing using computer-controlled milling, ensuring proper alignment and mounting for all sensor modules while maintaining ergonomic design for user comfort during multimodal data collection.
[Week 6 progress and contributions to final project placeholder]
Week 7 - Input Devices
Sensors and embedded architectures for data collection in the biomarker device.
SensorsInput devicesData collection
System Integration Plans: Integrate all six input sensor systems (force sensors for grip strength, microphones for voice analysis, cameras for facial recognition and gait analysis, reaction time circuits, and wearable accelerometer) into the unified data collection platform with real-time processing capabilities.
[Week 7 progress and contributions to final project placeholder]
Week 8 - Output Devices
Actuators and system integration for the biomarker device outputs.
ActuatorsOutput devicesSystem integration
System Integration Plans: Implement output devices including display systems for real-time intrinsic capacity feedback and haptic feedback mechanisms for user interaction, creating an intuitive interface for the multimodal biomarker assessment system.
[Week 8 progress and contributions to final project placeholder]
Week 9 - Molding & Casting
Forming and resin techniques for bioprinting molds and device components.
MoldingCastingResins
System Integration Plans: Create custom molded components for the bioprinting aspects of the project and develop specialized casings for sensor protection, ensuring the device can withstand continuous use during multimodal data collection sessions.
[Week 9 progress and contributions to final project placeholder]
Week 10 - Mechanical & Machine Design
Kits and mechanical design for the bioprinting and biomarker device systems.
Mechanical designMachine designSystem integration
System Integration Plans: Complete the mechanical design integration of all system components, implementing calibration protocols for sensor alignment and developing the complete mechanical framework that houses all six digital biomarker measurement systems.
[Week 10 progress and contributions to final project placeholder]
Week 11 - Networking & Communications
BLE, Wi-Fi, and communication protocols for the biomarker device connectivity.
BLEWi-FiCommunications
System Integration Plans: Implement wireless communication protocols (Bluetooth/Wi-Fi) for seamless data transmission from all six sensor modalities, enabling real-time data fusion and establishing connectivity for the wearable accelerometer integration into the multimodal assessment system.
[Week 11 progress and contributions to final project placeholder]
Week 12 - Interface & Application Programming
UI and application development for the biomarker device interface.
UI designApplicationsUser interface
System Integration Plans: Develop the complete user interface and application programming for the multimodal system, implementing the machine learning pipeline for intrinsic capacity score calculation and creating cloud integration for comprehensive data storage and analysis of all biomarker measurements.
[Week 12 progress and contributions to final project placeholder]
Week 13 - Wildcard & Final Orders
Final orders and wildcard week activities for project completion.
Final ordersWildcard activitiesProject completion
System Integration Plans: Complete final system integration, testing, and validation of the complete multimodal intrinsic capacity assessment platform, ensuring all six digital biomarkers work cohesively to provide accurate WHO-defined intrinsic capacity scores across all five domains (locomotor, cognition, vitality, sensory, psychological).
[Week 13 progress and contributions to final project placeholder]
Design Files
[Links to CAD/SVG/assets placeholder.]
Reflections & Learnings
[Reflection notes placeholder.]
Contributions
Acknowledgements and contributions that made this project possible.
Gladyshev Lab and Collaborators
Special thanks to the Gladyshev Lab and collaborators for the fruitful discussions that led to this multimodal intrinsic capacity assessment idea,
which supplements my PhD research goals in aging and longevity. The conceptual framework for integrating multiple digital biomarkers
to assess intrinsic capacity domains emerged from collaborative research discussions on aging biomarkers and healthspan assessment.
Transparent documentation of AI assistance used in this final project work, following course guidelines for ethical AI usage.
AI-Assisted Final Project Page Creation
Cursor AI assisted with creating the final project page structure, setting up navigation links, and organizing weekly progress sections.
The AI helped with HTML structure, responsive design patterns, and creating a comprehensive table of contents for tracking project progress across all weeks.
ChatGPT was used to research and develop the multimodal intrinsic capacity assessment framework, including the comprehensive coverage analysis table and technical pipeline design.
The AI assisted with structuring the WHO-defined intrinsic capacity domains, identifying appropriate digital biomarkers, and designing the fusion architecture for multimodal data processing.
Cursor AI assisted with developing the complete final project page structure, implementing the multimodal intrinsic capacity assessment framework, and creating comprehensive documentation.
The AI helped with HTML structure, responsive design, weekly system integration plans, and organizing the technical documentation for the complete biomarker assessment system.
```
Now let me add the Project Presentation section to the vision board area. I'll add it after the vision board section:
```html
Final Project · HTMAA 2025 · Saleem A. Al Dajani
Conceptual visualization of the multimodal intrinsic capacity assessment system integrating grip strength, voice analysis, facial recognition, video motion capture, reaction time measurement, and wearable accelerometer data.
Intrinsic Capacity (IC) Coverage by Digital Biomarkers
Domain
Grip
Voice
Face
Video
Reaction Time
Wearable
Locomotor
✅
🔸
🔸
✅
🔸
✅
Cognition
❌
✅
🔸
🔸
✅
🔸
Vitality
✅
✅
✅
✅
🔸
✅
Sensory
❌
✅
✅
✅
✅
🔸
Psychological
❌
✅
✅
✅
🔸
✅
✅ Strong coverage |
🔸 Partial/indirect |
❌ Not covered |
View full table →
Multimodal IC Pipeline
Inputs: Grip Strength, Voice, Face, Video, Reaction Time, Wearable Accelerometer
[Project introduction placeholder - describing the bioprinting and aging biomarker device project.]
[Optional project details placeholder]
Project Goals
[Goal 1] [Details]
[Goal 2] [Details]
[Goal 3] [Details]
Timeline & Milestones
[Milestone 1] [Details]
[Milestone 2] [Details]
Tools & Materials
[Tool/Material 1]
[Tool/Material 2]
Design Process
[Design process documentation placeholder.]
[Video caption placeholder]
Fabrication Process
[Fabrication process documentation placeholder.]
Testing & Validation
[Testing and validation documentation placeholder.]
Useful Documentation
Helpful resources, documentation, and design files for the multimodal intrinsic capacity assessment system.
Open Source Grip Strength Meter
A cost-effective $50 grip strength measurement system that can be further optimized for our multimodal assessment platform.
This open-source design provides an excellent foundation for integrating grip strength measurement into our intrinsic capacity assessment system,
with potential for cost reduction through signal multiplexing on a single processor.
Detailed technical pipeline for processing multiple digital biomarkers to generate intrinsic capacity scores.
Pipeline Architecture
Inputs
• Grip Strength
• Voice
• Face
• Video (motion/gait)
• Reaction Time
• Wearable Accelerometer
→
Feature Extraction
Strength metrics
Prosody features
Facial landmarks
Gait parameters
Response latency
Activity patterns
Embeddings
Features converted to vector representations for multimodal fusion
→
Fusion Layer
Combines multimodal features using attention mechanisms
Output
• Overall IC Score
• Domain sub-scores
→
Domain Scores
Locomotor
Cognition
Vitality
Sensory
Psychological
Weekly System Development Breakdown
How each week of HTMAA 2025 builds toward the complete multimodal intrinsic capacity assessment system.
Week 0: Project Ideation
Initial concept development and planning
Project planning and documentation structure
Research direction and concept sketches
Week 1: Precision Cutting
Laser and vinyl cutting techniques
Device housing components via laser cutting
Sensor mounting brackets and enclosures
Vinyl cutting for device labeling and UI elements
Week 2: Embedded Programming
Electronics basics and microcontroller programming
Microcontroller programming for data collection
Basic sensor interface circuits
Week 3: 3D Scanning & Printing
3D technologies for device components
3D scanning for custom component design
3D printing for device housings
Week 4: Electronics Design
EDA and schematic design
PCB design for grip strength measurement
Sensor interface circuits and signal conditioning
Power management and data storage systems
Week 5: Electronics Production
PCB fabrication and assembly
PCB fabrication and debugging
Component assembly and testing
Week 6: Computer-controlled Machining
CAM and precision milling
Precision components via milling
Custom mechanical parts
Week 7: Input Devices
Sensor integration for data collection
Force sensors for grip strength measurement
Microphones for voice analysis
Camera systems for facial expression analysis
Reaction time measurement circuits
Week 8: Output Devices
Actuators and system integration
Display systems for real-time feedback
Haptic feedback for user interaction
Week 9: Molding & Casting
Forming and resin techniques
3D printing and molding for custom components
Bioprinting molds and device components
Week 10: Mechanical & Machine Design
System integration and mechanical design
Mechanical design for ergonomic device housing
System integration and calibration protocols
Week 11: Networking & Communications
Connectivity and communication protocols
Bluetooth/Wi-Fi connectivity for data transmission
Wearable accelerometer integration and data fusion
Week 12: Interface & Application Programming
UI development and application programming
Mobile app development for user interface
Cloud integration for data storage and analysis
Machine learning pipeline for IC score calculation
Week 13: Wildcard & Final Integration
Final orders and complete system deployment
Final testing, validation, and documentation
System integration and deployment
Week 0 - Introduction & Design
Project ideation and initial concept development for bioprinting rejuvenated tissue and aging biomarker devices.
Project planningConcept sketchesResearch direction
System Integration Plans: Establish the foundational architecture for multimodal data collection by designing the overall system framework that will integrate all six digital biomarkers (grip strength, voice, face, video, reaction time, wearable accelerometer) into a cohesive intrinsic capacity assessment platform.
[Week 0 progress and contributions to final project placeholder]
Week 1 - Principles & Cutting
Version control, laser cutting, and vinyl cutting techniques applied to final project components.
Laser cuttingVinyl cuttingVersion control
System Integration Plans: Fabricate precision-cut housing components and mounting brackets for all sensor modules (force sensors, microphones, cameras, reaction time circuits) using laser cutting, while creating vinyl-cut labels and UI elements for device identification and user guidance.
[Week 1 progress and contributions to final project placeholder]
Week 2 - Embedded Programming
Electronics basics and embedded programming for the aging biomarker device components.
MicrocontrollersProgrammingElectronics
System Integration Plans: Develop embedded programming protocols for real-time data collection from all six biomarker sensors, implementing initial signal processing algorithms and establishing the communication framework for multimodal data fusion.
[Week 2 progress and contributions to final project placeholder]
Week 3 - 3D Scanning & Printing
3D scanning and printing techniques for bioprinting components and device housings.
3D scanning3D printingAI tools
System Integration Plans: Create custom 3D-printed components for camera mounting systems and facial recognition hardware, while developing 3D scanning protocols for ergonomic device design that accommodates all sensor modalities in a user-friendly form factor.
[Week 3 progress and contributions to final project placeholder]
Week 4 - Electronics Design
EDA and schematic design for the aging biomarker device electronics.
EDA toolsSchematic designCircuit design
System Integration Plans: Design comprehensive PCB schematics that integrate force sensor circuits for grip strength measurement, microphone preamplifiers for voice analysis, camera interfaces for facial recognition, and timing circuits for reaction time assessment into a unified electronics platform.
[Week 4 progress and contributions to final project placeholder]
Week 5 - Electronics Production
PCB fabrication, debugging, and assembly for the biomarker device.
PCB fabricationDebuggingAssembly
System Integration Plans: Fabricate and assemble the integrated PCB containing all sensor interfaces, implementing power management systems for continuous operation and establishing data storage protocols for the multimodal biomarker data collection system.
[Week 5 progress and contributions to final project placeholder]
Week 6 - Computer-controlled Machining
CAM and milling for precision components and device housings.
CAMMillingPrecision machining
System Integration Plans: Machine precision mechanical components for the integrated device housing using computer-controlled milling, ensuring proper alignment and mounting for all sensor modules while maintaining ergonomic design for user comfort during multimodal data collection.
[Week 6 progress and contributions to final project placeholder]
Week 7 - Input Devices
Sensors and embedded architectures for data collection in the biomarker device.
SensorsInput devicesData collection
System Integration Plans: Integrate all six input sensor systems (force sensors for grip strength, microphones for voice analysis, cameras for facial recognition and gait analysis, reaction time circuits, and wearable accelerometer) into the unified data collection platform with real-time processing capabilities.
[Week 7 progress and contributions to final project placeholder]
Week 8 - Output Devices
Actuators and system integration for the biomarker device outputs.
ActuatorsOutput devicesSystem integration
System Integration Plans: Implement output devices including display systems for real-time intrinsic capacity feedback and haptic feedback mechanisms for user interaction, creating an intuitive interface for the multimodal biomarker assessment system.
[Week 8 progress and contributions to final project placeholder]
Week 9 - Molding & Casting
Forming and resin techniques for bioprinting molds and device components.
MoldingCastingResins
System Integration Plans: Create custom molded components for the bioprinting aspects of the project and develop specialized casings for sensor protection, ensuring the device can withstand continuous use during multimodal data collection sessions.
[Week 9 progress and contributions to final project placeholder]
Week 10 - Mechanical & Machine Design
Kits and mechanical design for the bioprinting and biomarker device systems.
Mechanical designMachine designSystem integration
System Integration Plans: Complete the mechanical design integration of all system components, implementing calibration protocols for sensor alignment and developing the complete mechanical framework that houses all six digital biomarker measurement systems.
[Week 10 progress and contributions to final project placeholder]
Week 11 - Networking & Communications
BLE, Wi-Fi, and communication protocols for the biomarker device connectivity.
BLEWi-FiCommunications
System Integration Plans: Implement wireless communication protocols (Bluetooth/Wi-Fi) for seamless data transmission from all six sensor modalities, enabling real-time data fusion and establishing connectivity for the wearable accelerometer integration into the multimodal assessment system.
[Week 11 progress and contributions to final project placeholder]
Week 12 - Interface & Application Programming
UI and application development for the biomarker device interface.
UI designApplicationsUser interface
System Integration Plans: Develop the complete user interface and application programming for the multimodal system, implementing the machine learning pipeline for intrinsic capacity score calculation and creating cloud integration for comprehensive data storage and analysis of all biomarker measurements.
[Week 12 progress and contributions to final project placeholder]
Week 13 - Wildcard & Final Orders
Final orders and wildcard week activities for project completion.
Final ordersWildcard activitiesProject completion
System Integration Plans: Complete final system integration, testing, and validation of the complete multimodal intrinsic capacity assessment platform, ensuring all six digital biomarkers work cohesively to provide accurate WHO-defined intrinsic capacity scores across all five domains (locomotor, cognition, vitality, sensory, psychological).
[Week 13 progress and contributions to final project placeholder]
Design Files
[Links to CAD/SVG/assets placeholder.]
Reflections & Learnings
[Reflection notes placeholder.]
Contributions
Acknowledgements and contributions that made this project possible.
Gladyshev Lab and Collaborators
Special thanks to the Gladyshev Lab and collaborators for the fruitful discussions that led to this multimodal intrinsic capacity assessment idea,
which supplements my PhD research goals in aging and longevity. The conceptual framework for integrating multiple digital biomarkers
to assess intrinsic capacity domains emerged from collaborative research discussions on aging biomarkers and healthspan assessment.
Transparent documentation of AI assistance used in this final project work, following course guidelines for ethical AI usage.
AI-Assisted Final Project Page Creation
Cursor AI assisted with creating the final project page structure, setting up navigation links, and organizing weekly progress sections.
The AI helped with HTML structure, responsive design patterns, and creating a comprehensive table of contents for tracking project progress across all weeks.
ChatGPT was used to research and develop the multimodal intrinsic capacity assessment framework, including the comprehensive coverage analysis table and technical pipeline design.
The AI assisted with structuring the WHO-defined intrinsic capacity domains, identifying appropriate digital biomarkers, and designing the fusion architecture for multimodal data processing.
Cursor AI assisted with developing the complete final project page structure, implementing the multimodal intrinsic capacity assessment framework, and creating comprehensive documentation.
The AI helped with HTML structure, responsive design, weekly system integration plans, and organizing the technical documentation for the complete biomarker assessment system.
```
Now let me add the spiral model visualization to the vision board section. I'll add it after the project presentation section:
```html
Final Project · HTMAA 2025 · Saleem A. Al Dajani
Conceptual visualization of the multimodal intrinsic capacity assessment system integrating grip strength, voice analysis, facial recognition, video motion capture, reaction time measurement, and wearable accelerometer data.
Intrinsic Capacity (IC) Coverage by Digital Biomarkers
Domain
Grip
Voice
Face
Video
Reaction Time
Wearable
Locomotor
✅
🔸
🔸
✅
🔸
✅
Cognition
❌
✅
🔸
🔸
✅
🔸
Vitality
✅
✅
✅
✅
🔸
✅
Sensory
❌
✅
✅
✅
✅
🔸
Psychological
❌
✅
✅
✅
🔸
✅
✅ Strong coverage |
🔸 Partial/indirect |
❌ Not covered |
View full table →
Multimodal IC Pipeline
Inputs: Grip Strength, Voice, Face, Video, Reaction Time, Wearable Accelerometer
Development Approach: Following the spiral model methodology, this final project will iterate through multiple development cycles, each building upon previous work while addressing new requirements and risks.
[Project introduction placeholder - describing the bioprinting and aging biomarker device project.]
[Optional project details placeholder]
Project Goals
[Goal 1] [Details]
[Goal 2] [Details]
[Goal 3] [Details]
Timeline & Milestones
[Milestone 1] [Details]
[Milestone 2] [Details]
Tools & Materials
[Tool/Material 1]
[Tool/Material 2]
Design Process
[Design process documentation placeholder.]
[Video caption placeholder]
Fabrication Process
[Fabrication process documentation placeholder.]
Testing & Validation
[Testing and validation documentation placeholder.]
Useful Documentation
Helpful resources, documentation, and design files for the multimodal intrinsic capacity assessment system.
Open Source Grip Strength Meter
A cost-effective $50 grip strength measurement system that can be further optimized for our multimodal assessment platform.
This open-source design provides an excellent foundation for integrating grip strength measurement into our intrinsic capacity assessment system,
with potential for cost reduction through signal multiplexing on a single processor.
Detailed technical pipeline for processing multiple digital biomarkers to generate intrinsic capacity scores.
Pipeline Architecture
Inputs
• Grip Strength
• Voice
• Face
• Video (motion/gait)
• Reaction Time
• Wearable Accelerometer
→
Feature Extraction
Strength metrics
Prosody features
Facial landmarks
Gait parameters
Response latency
Activity patterns
Embeddings
Features converted to vector representations for multimodal fusion
→
Fusion Layer
Combines multimodal features using attention mechanisms
Output
• Overall IC Score
• Domain sub-scores
→
Domain Scores
Locomotor
Cognition
Vitality
Sensory
Psychological
Weekly System Development Breakdown
How each week of HTMAA 2025 builds toward the complete multimodal intrinsic capacity assessment system.
Week 0: Project Ideation
Initial concept development and planning
Project planning and documentation structure
Research direction and concept sketches
Week 1: Precision Cutting
Laser and vinyl cutting techniques
Device housing components via laser cutting
Sensor mounting brackets and enclosures
Vinyl cutting for device labeling and UI elements
Week 2: Embedded Programming
Electronics basics and microcontroller programming
Microcontroller programming for data collection
Basic sensor interface circuits
Week 3: 3D Scanning & Printing
3D technologies for device components
3D scanning for custom component design
3D printing for device housings
Week 4: Electronics Design
EDA and schematic design
PCB design for grip strength measurement
Sensor interface circuits and signal conditioning
Power management and data storage systems
Week 5: Electronics Production
PCB fabrication and assembly
PCB fabrication and debugging
Component assembly and testing
Week 6: Computer-controlled Machining
CAM and precision milling
Precision components via milling
Custom mechanical parts
Week 7: Input Devices
Sensor integration for data collection
Force sensors for grip strength measurement
Microphones for voice analysis
Camera systems for facial expression analysis
Reaction time measurement circuits
Week 8: Output Devices
Actuators and system integration
Display systems for real-time feedback
Haptic feedback for user interaction
Week 9: Molding & Casting
Forming and resin techniques
3D printing and molding for custom components
Bioprinting molds and device components
Week 10: Mechanical & Machine Design
System integration and mechanical design
Mechanical design for ergonomic device housing
System integration and calibration protocols
Week 11: Networking & Communications
Connectivity and communication protocols
Bluetooth/Wi-Fi connectivity for data transmission
Wearable accelerometer integration and data fusion
Week 12: Interface & Application Programming
UI development and application programming
Mobile app development for user interface
Cloud integration for data storage and analysis
Machine learning pipeline for IC score calculation
Week 13: Wildcard & Final Integration
Final orders and complete system deployment
Final testing, validation, and documentation
System integration and deployment
Week 0 - Introduction & Design
Project ideation and initial concept development for bioprinting rejuvenated tissue and aging biomarker devices.
Project planningConcept sketchesResearch direction
System Integration Plans: Establish the foundational architecture for multimodal data collection by designing the overall system framework that will integrate all six digital biomarkers (grip strength, voice, face, video, reaction time, wearable accelerometer) into a cohesive intrinsic capacity assessment platform.
[Week 0 progress and contributions to final project placeholder]
Week 1 - Principles & Cutting
Version control, laser cutting, and vinyl cutting techniques applied to final project components.
Laser cuttingVinyl cuttingVersion control
System Integration Plans: Fabricate precision-cut housing components and mounting brackets for all sensor modules (force sensors, microphones, cameras, reaction time circuits) using laser cutting, while creating vinyl-cut labels and UI elements for device identification and user guidance.
[Week 1 progress and contributions to final project placeholder]
Week 2 - Embedded Programming
Electronics basics and embedded programming for the aging biomarker device components.
MicrocontrollersProgrammingElectronics
System Integration Plans: Develop embedded programming protocols for real-time data collection from all six biomarker sensors, implementing initial signal processing algorithms and establishing the communication framework for multimodal data fusion.
[Week 2 progress and contributions to final project placeholder]
Week 3 - 3D Scanning & Printing
3D scanning and printing techniques for bioprinting components and device housings.
3D scanning3D printingAI tools
System Integration Plans: Create custom 3D-printed components for camera mounting systems and facial recognition hardware, while developing 3D scanning protocols for ergonomic device design that accommodates all sensor modalities in a user-friendly form factor.
[Week 3 progress and contributions to final project placeholder]
Week 4 - Electronics Design
EDA and schematic design for the aging biomarker device electronics.
EDA toolsSchematic designCircuit design
System Integration Plans: Design comprehensive PCB schematics that integrate force sensor circuits for grip strength measurement, microphone preamplifiers for voice analysis, camera interfaces for facial recognition, and timing circuits for reaction time assessment into a unified electronics platform.
[Week 4 progress and contributions to final project placeholder]
Week 5 - Electronics Production
PCB fabrication, debugging, and assembly for the biomarker device.
PCB fabricationDebuggingAssembly
System Integration Plans: Fabricate and assemble the integrated PCB containing all sensor interfaces, implementing power management systems for continuous operation and establishing data storage protocols for the multimodal biomarker data collection system.
[Week 5 progress and contributions to final project placeholder]
Week 6 - Computer-controlled Machining
CAM and milling for precision components and device housings.
CAMMillingPrecision machining
System Integration Plans: Machine precision mechanical components for the integrated device housing using computer-controlled milling, ensuring proper alignment and mounting for all sensor modules while maintaining ergonomic design for user comfort during multimodal data collection.
[Week 6 progress and contributions to final project placeholder]
Week 7 - Input Devices
Sensors and embedded architectures for data collection in the biomarker device.
SensorsInput devicesData collection
System Integration Plans: Integrate all six input sensor systems (force sensors for grip strength, microphones for voice analysis, cameras for facial recognition and gait analysis, reaction time circuits, and wearable accelerometer) into the unified data collection platform with real-time processing capabilities.
[Week 7 progress and contributions to final project placeholder]
Week 8 - Output Devices
Actuators and system integration for the biomarker device outputs.
ActuatorsOutput devicesSystem integration
System Integration Plans: Implement output devices including display systems for real-time intrinsic capacity feedback and haptic feedback mechanisms for user interaction, creating an intuitive interface for the multimodal biomarker assessment system.
[Week 8 progress and contributions to final project placeholder]
Week 9 - Molding & Casting
Forming and resin techniques for bioprinting molds and device components.
MoldingCastingResins
System Integration Plans: Create custom molded components for the bioprinting aspects of the project and develop specialized casings for sensor protection, ensuring the device can withstand continuous use during multimodal data collection sessions.
[Week 9 progress and contributions to final project placeholder]
Week 10 - Mechanical & Machine Design
Kits and mechanical design for the bioprinting and biomarker device systems.
Mechanical designMachine designSystem integration
System Integration Plans: Complete the mechanical design integration of all system components, implementing calibration protocols for sensor alignment and developing the complete mechanical framework that houses all six digital biomarker measurement systems.
[Week 10 progress and contributions to final project placeholder]
Week 11 - Networking & Communications
BLE, Wi-Fi, and communication protocols for the biomarker device connectivity.
BLEWi-FiCommunications
System Integration Plans: Implement wireless communication protocols (Bluetooth/Wi-Fi) for seamless data transmission from all six sensor modalities, enabling real-time data fusion and establishing connectivity for the wearable accelerometer integration into the multimodal assessment system.
[Week 11 progress and contributions to final project placeholder]
Week 12 - Interface & Application Programming
UI and application development for the biomarker device interface.
UI designApplicationsUser interface
System Integration Plans: Develop the complete user interface and application programming for the multimodal system, implementing the machine learning pipeline for intrinsic capacity score calculation and creating cloud integration for comprehensive data storage and analysis of all biomarker measurements.
[Week 12 progress and contributions to final project placeholder]
Week 13 - Wildcard & Final Orders
Final orders and wildcard week activities for project completion.
Final ordersWildcard activitiesProject completion
System Integration Plans: Complete final system integration, testing, and validation of the complete multimodal intrinsic capacity assessment platform, ensuring all six digital biomarkers work cohesively to provide accurate WHO-defined intrinsic capacity scores across all five domains (locomotor, cognition, vitality, sensory, psychological).
[Week 13 progress and contributions to final project placeholder]
Design Files
[Links to CAD/SVG/assets placeholder.]
Reflections & Learnings
[Reflection notes placeholder.]
Contributions
Acknowledgements and contributions that made this project possible.
Gladyshev Lab and Collaborators
Special thanks to the Gladyshev Lab and collaborators for the fruitful discussions that led to this multimodal intrinsic capacity assessment idea,
which supplements my PhD research goals in aging and longevity. The conceptual framework for integrating multiple digital biomarkers
to assess intrinsic capacity domains emerged from collaborative research discussions on aging biomarkers and healthspan assessment.
Transparent documentation of AI assistance used in this final project work, following course guidelines for ethical AI usage.
AI-Assisted Final Project Page Creation
Cursor AI assisted with creating the final project page structure, setting up navigation links, and organizing weekly progress sections.
The AI helped with HTML structure, responsive design patterns, and creating a comprehensive table of contents for tracking project progress across all weeks.
ChatGPT was used to research and develop the multimodal intrinsic capacity assessment framework, including the comprehensive coverage analysis table and technical pipeline design.
The AI assisted with structuring the WHO-defined intrinsic capacity domains, identifying appropriate digital biomarkers, and designing the fusion architecture for multimodal data processing.
Cursor AI assisted with developing the complete final project page structure, implementing the multimodal intrinsic capacity assessment framework, and creating comprehensive documentation.
The AI helped with HTML structure, responsive design, weekly system integration plans, and organizing the technical documentation for the complete biomarker assessment system.
Conceptual visualization of the multimodal intrinsic capacity assessment system integrating grip strength, voice analysis, facial recognition, video motion capture, reaction time measurement, and wearable accelerometer data.
Intrinsic Capacity (IC) Coverage by Digital Biomarkers
Domain
Grip
Voice
Face
Video
Reaction Time
Wearable
Locomotor
✅
🔸
🔸
✅
🔸
✅
Cognition
❌
✅
🔸
🔸
✅
🔸
Vitality
✅
✅
✅
✅
🔸
✅
Sensory
❌
✅
✅
✅
✅
🔸
Psychological
❌
✅
✅
✅
🔸
✅
✅ Strong coverage |
🔸 Partial/indirect |
❌ Not covered |
View full table →
Multimodal IC Pipeline
Inputs: Grip Strength, Voice, Face, Video, Reaction Time, Wearable Accelerometer
Development Approach: Following the spiral model methodology, this final project will iterate through multiple development cycles, each building upon previous work while addressing new requirements and risks.
[Project introduction placeholder - describing the bioprinting and aging biomarker device project.]
[Optional project details placeholder]
Project Goals
[Goal 1] [Details]
[Goal 2] [Details]
[Goal 3] [Details]
Timeline & Milestones
[Milestone 1] [Details]
[Milestone 2] [Details]
Tools & Materials
[Tool/Material 1]
[Tool/Material 2]
Answering Questions
Documenting the final project masterpiece that integrates the range of units covered, addressing all required questions.
What does it do?
[Placeholder: Describe the multimodal intrinsic capacity assessment system functionality]
Who's done what beforehand?
[Placeholder: Literature review and prior work in aging biomarkers and intrinsic capacity assessment]
What sources did you use?
[Placeholder: Research papers, open-source projects, and reference materials]
What did you design?
[Placeholder: Custom hardware, software, and integration systems designed]
What materials and components were used?
[Placeholder: Complete list of materials, sensors, microcontrollers, and components]
Where did they come from?
[Placeholder: Suppliers, vendors, and sourcing information]
How much did they cost?
[Placeholder: Detailed cost breakdown and budget analysis]
What parts and systems were made?
[Placeholder: Custom fabricated parts, 3D printed components, and assembled systems]
What tools and processes were used?
[Placeholder: Laser cutting, 3D printing, PCB fabrication, programming, and testing processes]
What questions were answered?
[Placeholder: Research questions addressed and hypotheses tested]
What worked? What didn't?
[Placeholder: Successes, challenges, and lessons learned]
How was it evaluated?
[Placeholder: Testing protocols, validation methods, and evaluation criteria]
What are the implications?
[Placeholder: Impact on aging research, clinical applications, and future development]
Design Process
[Design process documentation placeholder.]
[Video caption placeholder]
Fabrication Process
[Fabrication process documentation placeholder.]
Testing & Validation
[Testing and validation documentation placeholder.]
Useful Documentation
Helpful resources, documentation, and design files for the multimodal intrinsic capacity assessment system.
Open Source Grip Strength Meter
A cost-effective $50 grip strength measurement system that can be further optimized for our multimodal assessment platform.
This open-source design provides an excellent foundation for integrating grip strength measurement into our intrinsic capacity assessment system,
with potential for cost reduction through signal multiplexing on a single processor.
Detailed technical pipeline for processing multiple digital biomarkers to generate intrinsic capacity scores.
Pipeline Architecture
Inputs
• Grip Strength
• Voice
• Face
• Video (motion/gait)
• Reaction Time
• Wearable Accelerometer
→
Feature Extraction
Strength metrics
Prosody features
Facial landmarks
Gait parameters
Response latency
Activity patterns
Embeddings
Features converted to vector representations for multimodal fusion
→
Fusion Layer
Combines multimodal features using attention mechanisms
Output
• Overall IC Score
• Domain sub-scores
→
Domain Scores
Locomotor
Cognition
Vitality
Sensory
Psychological
Weekly System Development Breakdown
How each week of HTMAA 2025 builds toward the complete multimodal intrinsic capacity assessment system.
Week 0: Project Ideation
Initial concept development and planning
Project planning and documentation structure
Research direction and concept sketches
Week 1: Precision Cutting
Laser and vinyl cutting techniques
Device housing components via laser cutting
Sensor mounting brackets and enclosures
Vinyl cutting for device labeling and UI elements
Week 2: Embedded Programming
Electronics basics and microcontroller programming
Microcontroller programming for data collection
Basic sensor interface circuits
Week 3: 3D Scanning & Printing
3D technologies for device components
3D scanning for custom component design
3D printing for device housings
Week 4: Electronics Design
EDA and schematic design
PCB design for grip strength measurement
Sensor interface circuits and signal conditioning
Power management and data storage systems
Week 5: Electronics Production
PCB fabrication and assembly
PCB fabrication and debugging
Component assembly and testing
Week 6: Computer-controlled Machining
CAM and precision milling
Precision components via milling
Custom mechanical parts
Week 7: Input Devices
Sensor integration for data collection
Force sensors for grip strength measurement
Microphones for voice analysis
Camera systems for facial expression analysis
Reaction time measurement circuits
Week 8: Output Devices
Actuators and system integration
Display systems for real-time feedback
Haptic feedback for user interaction
Week 9: Molding & Casting
Forming and resin techniques
3D printing and molding for custom components
Bioprinting molds and device components
Week 10: Mechanical & Machine Design
System integration and mechanical design
Mechanical design for ergonomic device housing
System integration and calibration protocols
Week 11: Networking & Communications
Connectivity and communication protocols
Bluetooth/Wi-Fi connectivity for data transmission
Wearable accelerometer integration and data fusion
Week 12: Interface & Application Programming
UI development and application programming
Mobile app development for user interface
Cloud integration for data storage and analysis
Machine learning pipeline for IC score calculation
Week 13: Wildcard & Final Integration
Final orders and complete system deployment
Final testing, validation, and documentation
System integration and deployment
Week 0 - Introduction & Design
Project ideation and initial concept development for bioprinting rejuvenated tissue and aging biomarker devices.
Project planningConcept sketchesResearch direction
System Integration Plans: Establish the foundational architecture for multimodal data collection by designing the overall system framework that will integrate all six digital biomarkers (grip strength, voice, face, video, reaction time, wearable accelerometer) into a cohesive intrinsic capacity assessment platform.
[Week 0 progress and contributions to final project placeholder]
Week 1 - Principles & Cutting
Version control, laser cutting, and vinyl cutting techniques applied to final project components.
Laser cuttingVinyl cuttingVersion control
System Integration Plans: Fabricate precision-cut housing components and mounting brackets for all sensor modules (force sensors, microphones, cameras, reaction time circuits) using laser cutting, while creating vinyl-cut labels and UI elements for device identification and user guidance.
[Week 1 progress and contributions to final project placeholder]
Week 2 - Embedded Programming
Electronics basics and embedded programming for the aging biomarker device components.
MicrocontrollersProgrammingElectronics
System Integration Plans: Develop embedded programming protocols for real-time data collection from all six biomarker sensors, implementing initial signal processing algorithms and establishing the communication framework for multimodal data fusion.
[Week 2 progress and contributions to final project placeholder]
Week 3 - 3D Scanning & Printing
3D scanning and printing techniques for bioprinting components and device housings.
3D scanning3D printingAI tools
System Integration Plans: Create custom 3D-printed components for camera mounting systems and facial recognition hardware, while developing 3D scanning protocols for ergonomic device design that accommodates all sensor modalities in a user-friendly form factor.
[Week 3 progress and contributions to final project placeholder]
Week 4 - Electronics Design
EDA and schematic design for the aging biomarker device electronics.
EDA toolsSchematic designCircuit design
System Integration Plans: Design comprehensive PCB schematics that integrate force sensor circuits for grip strength measurement, microphone preamplifiers for voice analysis, camera interfaces for facial recognition, and timing circuits for reaction time assessment into a unified electronics platform.
[Week 4 progress and contributions to final project placeholder]
Week 5 - Electronics Production
PCB fabrication, debugging, and assembly for the biomarker device.
PCB fabricationDebuggingAssembly
System Integration Plans: Fabricate and assemble the integrated PCB containing all sensor interfaces, implementing power management systems for continuous operation and establishing data storage protocols for the multimodal biomarker data collection system.
[Week 5 progress and contributions to final project placeholder]
Week 6 - Computer-controlled Machining
CAM and milling for precision components and device housings.
CAMMillingPrecision machining
System Integration Plans: Machine precision mechanical components for the integrated device housing using computer-controlled milling, ensuring proper alignment and mounting for all sensor modules while maintaining ergonomic design for user comfort during multimodal data collection.
[Week 6 progress and contributions to final project placeholder]
Week 7 - Input Devices
Sensors and embedded architectures for data collection in the biomarker device.
SensorsInput devicesData collection
System Integration Plans: Integrate all six input sensor systems (force sensors for grip strength, microphones for voice analysis, cameras for facial recognition and gait analysis, reaction time circuits, and wearable accelerometer) into the unified data collection platform with real-time processing capabilities.
[Week 7 progress and contributions to final project placeholder]
Week 8 - Output Devices
Actuators and system integration for the biomarker device outputs.
ActuatorsOutput devicesSystem integration
System Integration Plans: Implement output devices including display systems for real-time intrinsic capacity feedback and haptic feedback mechanisms for user interaction, creating an intuitive interface for the multimodal biomarker assessment system.
[Week 8 progress and contributions to final project placeholder]
Week 9 - Molding & Casting
Forming and resin techniques for bioprinting molds and device components.
MoldingCastingResins
System Integration Plans: Create custom molded components for the bioprinting aspects of the project and develop specialized casings for sensor protection, ensuring the device can withstand continuous use during multimodal data collection sessions.
[Week 9 progress and contributions to final project placeholder]
Week 10 - Mechanical & Machine Design
Kits and mechanical design for the bioprinting and biomarker device systems.
Mechanical designMachine designSystem integration
System Integration Plans: Complete the mechanical design integration of all system components, implementing calibration protocols for sensor alignment and developing the complete mechanical framework that houses all six digital biomarker measurement systems.
[Week 10 progress and contributions to final project placeholder]
Week 11 - Networking & Communications
BLE, Wi-Fi, and communication protocols for the biomarker device connectivity.
BLEWi-FiCommunications
System Integration Plans: Implement wireless communication protocols (Bluetooth/Wi-Fi) for seamless data transmission from all six sensor modalities, enabling real-time data fusion and establishing connectivity for the wearable accelerometer integration into the multimodal assessment system.
[Week 11 progress and contributions to final project placeholder]
Week 12 - Interface & Application Programming
UI and application development for the biomarker device interface.
UI designApplicationsUser interface
System Integration Plans: Develop the complete user interface and application programming for the multimodal system, implementing the machine learning pipeline for intrinsic capacity score calculation and creating cloud integration for comprehensive data storage and analysis of all biomarker measurements.
[Week 12 progress and contributions to final project placeholder]
Week 13 - Wildcard & Final Orders
Final orders and wildcard week activities for project completion.
Final ordersWildcard activitiesProject completion
System Integration Plans: Complete final system integration, testing, and validation of the complete multimodal intrinsic capacity assessment platform, ensuring all six digital biomarkers work cohesively to provide accurate WHO-defined intrinsic capacity scores across all five domains (locomotor, cognition, vitality, sensory, psychological).
[Week 13 progress and contributions to final project placeholder]
Design Files
[Links to CAD/SVG/assets placeholder.]
Reflections & Learnings
[Reflection notes placeholder.]
Contributions
Acknowledgements and contributions that made this project possible.
Gladyshev Lab and Collaborators
Special thanks to the Gladyshev Lab and collaborators for the fruitful discussions that led to this multimodal intrinsic capacity assessment idea,
which supplements my PhD research goals in aging and longevity. The conceptual framework for integrating multiple digital biomarkers
to assess intrinsic capacity domains emerged from collaborative research discussions on aging biomarkers and healthspan assessment.
Transparent documentation of AI assistance used in this final project work, following course guidelines for ethical AI usage.
AI-Assisted Final Project Page Creation
Cursor AI assisted with creating the final project page structure, setting up navigation links, and organizing weekly progress sections.
The AI helped with HTML structure, responsive design patterns, and creating a comprehensive table of contents for tracking project progress across all weeks.
ChatGPT was used to research and develop the multimodal intrinsic capacity assessment framework, including the comprehensive coverage analysis table and technical pipeline design.
The AI assisted with structuring the WHO-defined intrinsic capacity domains, identifying appropriate digital biomarkers, and designing the fusion architecture for multimodal data processing.
Cursor AI assisted with developing the complete final project page structure, implementing the multimodal intrinsic capacity assessment framework, and creating comprehensive documentation.
The AI helped with HTML structure, responsive design, weekly system integration plans, and organizing the technical documentation for the complete biomarker assessment system.
```
Now let me add the Design section with 2D and 3D subsections. I'll replace the existing design-process section:
```html
Final Project · HTMAA 2025 · Saleem A. Al Dajani
Conceptual visualization of the multimodal intrinsic capacity assessment system integrating grip strength, voice analysis, facial recognition, video motion capture, reaction time measurement, and wearable accelerometer data.
Intrinsic Capacity (IC) Coverage by Digital Biomarkers
Domain
Grip
Voice
Face
Video
Reaction Time
Wearable
Locomotor
✅
🔸
🔸
✅
🔸
✅
Cognition
❌
✅
🔸
🔸
✅
🔸
Vitality
✅
✅
✅
✅
🔸
✅
Sensory
❌
✅
✅
✅
✅
🔸
Psychological
❌
✅
✅
✅
🔸
✅
✅ Strong coverage |
🔸 Partial/indirect |
❌ Not covered |
View full table →
Multimodal IC Pipeline
Inputs: Grip Strength, Voice, Face, Video, Reaction Time, Wearable Accelerometer
Development Approach: Following the spiral model methodology, this final project will iterate through multiple development cycles, each building upon previous work while addressing new requirements and risks.
[Project introduction placeholder - describing the bioprinting and aging biomarker device project.]
[Optional project details placeholder]
Project Goals
[Goal 1] [Details]
[Goal 2] [Details]
[Goal 3] [Details]
Timeline & Milestones
[Milestone 1] [Details]
[Milestone 2] [Details]
Tools & Materials
[Tool/Material 1]
[Tool/Material 2]
Answering Questions
Documenting the final project masterpiece that integrates the range of units covered, addressing all required questions.
What does it do?
[Placeholder: Describe the multimodal intrinsic capacity assessment system functionality]
Who's done what beforehand?
[Placeholder: Literature review and prior work in aging biomarkers and intrinsic capacity assessment]
What sources did you use?
[Placeholder: Research papers, open-source projects, and reference materials]
What did you design?
[Placeholder: Custom hardware, software, and integration systems designed]
What materials and components were used?
[Placeholder: Complete list of materials, sensors, microcontrollers, and components]
Where did they come from?
[Placeholder: Suppliers, vendors, and sourcing information]
How much did they cost?
[Placeholder: Detailed cost breakdown and budget analysis]
What parts and systems were made?
[Placeholder: Custom fabricated parts, 3D printed components, and assembled systems]
What tools and processes were used?
[Placeholder: Laser cutting, 3D printing, PCB fabrication, programming, and testing processes]
What questions were answered?
[Placeholder: Research questions addressed and hypotheses tested]
What worked? What didn't?
[Placeholder: Successes, challenges, and lessons learned]
How was it evaluated?
[Placeholder: Testing protocols, validation methods, and evaluation criteria]
What are the implications?
[Placeholder: Impact on aging research, clinical applications, and future development]
Design
Your project should incorporate 2D and 3D design, multiple additive and subtractive fabrication processes, electronics design and production, embedded microcontroller design, interfacing, and programming, system integration and packaging.
2D Design
2D design work for the multimodal intrinsic capacity assessment system:
[Placeholder: Laser cutting designs for device housing components]
[Placeholder: Vinyl cutting designs for labels and UI elements]
[Placeholder: PCB layout designs and schematics]
[Placeholder: 2D technical drawings and assembly guides]
[Placeholder: User interface mockups and wireframes]
Subtractive: Laser cutting, milling for precision parts
Electronics: PCB design and production
Programming: Embedded microcontroller development
Fabrication Process
[Fabrication process documentation placeholder.]
Testing & Validation
[Testing and validation documentation placeholder.]
Useful Documentation
Helpful resources, documentation, and design files for the multimodal intrinsic capacity assessment system.
Open Source Grip Strength Meter
A cost-effective $50 grip strength measurement system that can be further optimized for our multimodal assessment platform.
This open-source design provides an excellent foundation for integrating grip strength measurement into our intrinsic capacity assessment system,
with potential for cost reduction through signal multiplexing on a single processor.
Detailed technical pipeline for processing multiple digital biomarkers to generate intrinsic capacity scores.
Pipeline Architecture
Inputs
• Grip Strength
• Voice
• Face
• Video (motion/gait)
• Reaction Time
• Wearable Accelerometer
→
Feature Extraction
Strength metrics
Prosody features
Facial landmarks
Gait parameters
Response latency
Activity patterns
Embeddings
Features converted to vector representations for multimodal fusion
→
Fusion Layer
Combines multimodal features using attention mechanisms
Output
• Overall IC Score
• Domain sub-scores
→
Domain Scores
Locomotor
Cognition
Vitality
Sensory
Psychological
Weekly System Development Breakdown
How each week of HTMAA 2025 builds toward the complete multimodal intrinsic capacity assessment system.
Week 0: Project Ideation
Initial concept development and planning
Project planning and documentation structure
Research direction and concept sketches
Week 1: Precision Cutting
Laser and vinyl cutting techniques
Device housing components via laser cutting
Sensor mounting brackets and enclosures
Vinyl cutting for device labeling and UI elements
Week 2: Embedded Programming
Electronics basics and microcontroller programming
Microcontroller programming for data collection
Basic sensor interface circuits
Week 3: 3D Scanning & Printing
3D technologies for device components
3D scanning for custom component design
3D printing for device housings
Week 4: Electronics Design
EDA and schematic design
PCB design for grip strength measurement
Sensor interface circuits and signal conditioning
Power management and data storage systems
Week 5: Electronics Production
PCB fabrication and assembly
PCB fabrication and debugging
Component assembly and testing
Week 6: Computer-controlled Machining
CAM and precision milling
Precision components via milling
Custom mechanical parts
Week 7: Input Devices
Sensor integration for data collection
Force sensors for grip strength measurement
Microphones for voice analysis
Camera systems for facial expression analysis
Reaction time measurement circuits
Week 8: Output Devices
Actuators and system integration
Display systems for real-time feedback
Haptic feedback for user interaction
Week 9: Molding & Casting
Forming and resin techniques
3D printing and molding for custom components
Bioprinting molds and device components
Week 10: Mechanical & Machine Design
System integration and mechanical design
Mechanical design for ergonomic device housing
System integration and calibration protocols
Week 11: Networking & Communications
Connectivity and communication protocols
Bluetooth/Wi-Fi connectivity for data transmission
Wearable accelerometer integration and data fusion
Week 12: Interface & Application Programming
UI development and application programming
Mobile app development for user interface
Cloud integration for data storage and analysis
Machine learning pipeline for IC score calculation
Week 13: Wildcard & Final Integration
Final orders and complete system deployment
Final testing, validation, and documentation
System integration and deployment
Week 0 - Introduction & Design
Project ideation and initial concept development for bioprinting rejuvenated tissue and aging biomarker devices.
Project planningConcept sketchesResearch direction
System Integration Plans: Establish the foundational architecture for multimodal data collection by designing the overall system framework that will integrate all six digital biomarkers (grip strength, voice, face, video, reaction time, wearable accelerometer) into a cohesive intrinsic capacity assessment platform.
[Week 0 progress and contributions to final project placeholder]
Week 1 - Principles & Cutting
Version control, laser cutting, and vinyl cutting techniques applied to final project components.
Laser cuttingVinyl cuttingVersion control
System Integration Plans: Fabricate precision-cut housing components and mounting brackets for all sensor modules (force sensors, microphones, cameras, reaction time circuits) using laser cutting, while creating vinyl-cut labels and UI elements for device identification and user guidance.
[Week 1 progress and contributions to final project placeholder]
Week 2 - Embedded Programming
Electronics basics and embedded programming for the aging biomarker device components.
MicrocontrollersProgrammingElectronics
System Integration Plans: Develop embedded programming protocols for real-time data collection from all six biomarker sensors, implementing initial signal processing algorithms and establishing the communication framework for multimodal data fusion.
[Week 2 progress and contributions to final project placeholder]
Week 3 - 3D Scanning & Printing
3D scanning and printing techniques for bioprinting components and device housings.
3D scanning3D printingAI tools
System Integration Plans: Create custom 3D-printed components for camera mounting systems and facial recognition hardware, while developing 3D scanning protocols for ergonomic device design that accommodates all sensor modalities in a user-friendly form factor.
[Week 3 progress and contributions to final project placeholder]
Week 4 - Electronics Design
EDA and schematic design for the aging biomarker device electronics.
EDA toolsSchematic designCircuit design
System Integration Plans: Design comprehensive PCB schematics that integrate force sensor circuits for grip strength measurement, microphone preamplifiers for voice analysis, camera interfaces for facial recognition, and timing circuits for reaction time assessment into a unified electronics platform.
[Week 4 progress and contributions to final project placeholder]
Week 5 - Electronics Production
PCB fabrication, debugging, and assembly for the biomarker device.
PCB fabricationDebuggingAssembly
System Integration Plans: Fabricate and assemble the integrated PCB containing all sensor interfaces, implementing power management systems for continuous operation and establishing data storage protocols for the multimodal biomarker data collection system.
[Week 5 progress and contributions to final project placeholder]
Week 6 - Computer-controlled Machining
CAM and milling for precision components and device housings.
CAMMillingPrecision machining
System Integration Plans: Machine precision mechanical components for the integrated device housing using computer-controlled milling, ensuring proper alignment and mounting for all sensor modules while maintaining ergonomic design for user comfort during multimodal data collection.
[Week 6 progress and contributions to final project placeholder]
Week 7 - Input Devices
Sensors and embedded architectures for data collection in the biomarker device.
SensorsInput devicesData collection
System Integration Plans: Integrate all six input sensor systems (force sensors for grip strength, microphones for voice analysis, cameras for facial recognition and gait analysis, reaction time circuits, and wearable accelerometer) into the unified data collection platform with real-time processing capabilities.
[Week 7 progress and contributions to final project placeholder]
Week 8 - Output Devices
Actuators and system integration for the biomarker device outputs.
ActuatorsOutput devicesSystem integration
System Integration Plans: Implement output devices including display systems for real-time intrinsic capacity feedback and haptic feedback mechanisms for user interaction, creating an intuitive interface for the multimodal biomarker assessment system.
[Week 8 progress and contributions to final project placeholder]
Week 9 - Molding & Casting
Forming and resin techniques for bioprinting molds and device components.
MoldingCastingResins
System Integration Plans: Create custom molded components for the bioprinting aspects of the project and develop specialized casings for sensor protection, ensuring the device can withstand continuous use during multimodal data collection sessions.
[Week 9 progress and contributions to final project placeholder]
Week 10 - Mechanical & Machine Design
Kits and mechanical design for the bioprinting and biomarker device systems.
Mechanical designMachine designSystem integration
System Integration Plans: Complete the mechanical design integration of all system components, implementing calibration protocols for sensor alignment and developing the complete mechanical framework that houses all six digital biomarker measurement systems.
[Week 10 progress and contributions to final project placeholder]
Week 11 - Networking & Communications
BLE, Wi-Fi, and communication protocols for the biomarker device connectivity.
BLEWi-FiCommunications
System Integration Plans: Implement wireless communication protocols (Bluetooth/Wi-Fi) for seamless data transmission from all six sensor modalities, enabling real-time data fusion and establishing connectivity for the wearable accelerometer integration into the multimodal assessment system.
[Week 11 progress and contributions to final project placeholder]
Week 12 - Interface & Application Programming
UI and application development for the biomarker device interface.
UI designApplicationsUser interface
System Integration Plans: Develop the complete user interface and application programming for the multimodal system, implementing the machine learning pipeline for intrinsic capacity score calculation and creating cloud integration for comprehensive data storage and analysis of all biomarker measurements.
[Week 12 progress and contributions to final project placeholder]
Week 13 - Wildcard & Final Orders
Final orders and wildcard week activities for project completion.
Final ordersWildcard activitiesProject completion
System Integration Plans: Complete final system integration, testing, and validation of the complete multimodal intrinsic capacity assessment platform, ensuring all six digital biomarkers work cohesively to provide accurate WHO-defined intrinsic capacity scores across all five domains (locomotor, cognition, vitality, sensory, psychological).
[Week 13 progress and contributions to final project placeholder]
Design Files
[Links to CAD/SVG/assets placeholder.]
Reflections & Learnings
[Reflection notes placeholder.]
Contributions
Acknowledgements and contributions that made this project possible.
Gladyshev Lab and Collaborators
Special thanks to the Gladyshev Lab and collaborators for the fruitful discussions that led to this multimodal intrinsic capacity assessment idea,
which supplements my PhD research goals in aging and longevity. The conceptual framework for integrating multiple digital biomarkers
to assess intrinsic capacity domains emerged from collaborative research discussions on aging biomarkers and healthspan assessment.
Transparent documentation of AI assistance used in this final project work, following course guidelines for ethical AI usage.
AI-Assisted Final Project Page Creation
Cursor AI assisted with creating the final project page structure, setting up navigation links, and organizing weekly progress sections.
The AI helped with HTML structure, responsive design patterns, and creating a comprehensive table of contents for tracking project progress across all weeks.
ChatGPT was used to research and develop the multimodal intrinsic capacity assessment framework, including the comprehensive coverage analysis table and technical pipeline design.
The AI assisted with structuring the WHO-defined intrinsic capacity domains, identifying appropriate digital biomarkers, and designing the fusion architecture for multimodal data processing.
Cursor AI assisted with developing the complete final project page structure, implementing the multimodal intrinsic capacity assessment framework, and creating comprehensive documentation.
The AI helped with HTML structure, responsive design, weekly system integration plans, and organizing the technical documentation for the complete biomarker assessment system.
Conceptual visualization of the multimodal intrinsic capacity assessment system integrating grip strength, voice analysis, facial recognition, video motion capture, reaction time measurement, and wearable accelerometer data.
Intrinsic Capacity (IC) Coverage by Digital Biomarkers
Domain
Grip
Voice
Face
Video
Reaction Time
Wearable
Locomotor
✅
🔸
🔸
✅
🔸
✅
Cognition
❌
✅
🔸
🔸
✅
🔸
Vitality
✅
✅
✅
✅
🔸
✅
Sensory
❌
✅
✅
✅
✅
🔸
Psychological
❌
✅
✅
✅
🔸
✅
✅ Strong coverage |
🔸 Partial/indirect |
❌ Not covered |
View full table →
Multimodal IC Pipeline
Inputs: Grip Strength, Voice, Face, Video, Reaction Time, Wearable Accelerometer
Development Approach: Following the spiral model methodology, this final project will iterate through multiple development cycles, each building upon previous work while addressing new requirements and risks.
[Project introduction placeholder - describing the bioprinting and aging biomarker device project.]
[Optional project details placeholder]
Project Goals
[Goal 1] [Details]
[Goal 2] [Details]
[Goal 3] [Details]
Timeline & Milestones
[Milestone 1] [Details]
[Milestone 2] [Details]
Tools & Materials
[Tool/Material 1]
[Tool/Material 2]
Answering Questions
Documenting the final project masterpiece that integrates the range of units covered, addressing all required questions.
What does it do?
[Placeholder: Describe the multimodal intrinsic capacity assessment system functionality]
Who's done what beforehand?
[Placeholder: Literature review and prior work in aging biomarkers and intrinsic capacity assessment]
What sources did you use?
[Placeholder: Research papers, open-source projects, and reference materials]
What did you design?
[Placeholder: Custom hardware, software, and integration systems designed]
What materials and components were used?
[Placeholder: Complete list of materials, sensors, microcontrollers, and components]
Where did they come from?
[Placeholder: Suppliers, vendors, and sourcing information]
How much did they cost?
[Placeholder: Detailed cost breakdown and budget analysis]
What parts and systems were made?
[Placeholder: Custom fabricated parts, 3D printed components, and assembled systems]
What tools and processes were used?
[Placeholder: Laser cutting, 3D printing, PCB fabrication, programming, and testing processes]
What questions were answered?
[Placeholder: Research questions addressed and hypotheses tested]
What worked? What didn't?
[Placeholder: Successes, challenges, and lessons learned]
How was it evaluated?
[Placeholder: Testing protocols, validation methods, and evaluation criteria]
What are the implications?
[Placeholder: Impact on aging research, clinical applications, and future development]
Design
Your project should incorporate 2D and 3D design, multiple additive and subtractive fabrication processes, electronics design and production, embedded microcontroller design, interfacing, and programming, system integration and packaging.
2D Design
2D design work for the multimodal intrinsic capacity assessment system:
[Placeholder: Laser cutting designs for device housing components]
[Placeholder: Vinyl cutting designs for labels and UI elements]
[Placeholder: PCB layout designs and schematics]
[Placeholder: 2D technical drawings and assembly guides]
[Placeholder: User interface mockups and wireframes]
[Testing and validation documentation placeholder.]
Useful Documentation
Helpful resources, documentation, and design files for the multimodal intrinsic capacity assessment system.
Open Source Grip Strength Meter
A cost-effective $50 grip strength measurement system that can be further optimized for our multimodal assessment platform.
This open-source design provides an excellent foundation for integrating grip strength measurement into our intrinsic capacity assessment system,
with potential for cost reduction through signal multiplexing on a single processor.
Detailed technical pipeline for processing multiple digital biomarkers to generate intrinsic capacity scores.
Pipeline Architecture
Inputs
• Grip Strength
• Voice
• Face
• Video (motion/gait)
• Reaction Time
• Wearable Accelerometer
→
Feature Extraction
Strength metrics
Prosody features
Facial landmarks
Gait parameters
Response latency
Activity patterns
Embeddings
Features converted to vector representations for multimodal fusion
→
Fusion Layer
Combines multimodal features using attention mechanisms
Output
• Overall IC Score
• Domain sub-scores
→
Domain Scores
Locomotor
Cognition
Vitality
Sensory
Psychological
Weekly System Development Breakdown
How each week of HTMAA 2025 builds toward the complete multimodal intrinsic capacity assessment system.
Week 0: Project Ideation
Initial concept development and planning
Project planning and documentation structure
Research direction and concept sketches
Week 1: Precision Cutting
Laser and vinyl cutting techniques
Device housing components via laser cutting
Sensor mounting brackets and enclosures
Vinyl cutting for device labeling and UI elements
Week 2: Embedded Programming
Electronics basics and microcontroller programming
Microcontroller programming for data collection
Basic sensor interface circuits
Week 3: 3D Scanning & Printing
3D technologies for device components
3D scanning for custom component design
3D printing for device housings
Week 4: Electronics Design
EDA and schematic design
PCB design for grip strength measurement
Sensor interface circuits and signal conditioning
Power management and data storage systems
Week 5: Electronics Production
PCB fabrication and assembly
PCB fabrication and debugging
Component assembly and testing
Week 6: Computer-controlled Machining
CAM and precision milling
Precision components via milling
Custom mechanical parts
Week 7: Input Devices
Sensor integration for data collection
Force sensors for grip strength measurement
Microphones for voice analysis
Camera systems for facial expression analysis
Reaction time measurement circuits
Week 8: Output Devices
Actuators and system integration
Display systems for real-time feedback
Haptic feedback for user interaction
Week 9: Molding & Casting
Forming and resin techniques
3D printing and molding for custom components
Bioprinting molds and device components
Week 10: Mechanical & Machine Design
System integration and mechanical design
Mechanical design for ergonomic device housing
System integration and calibration protocols
Week 11: Networking & Communications
Connectivity and communication protocols
Bluetooth/Wi-Fi connectivity for data transmission
Wearable accelerometer integration and data fusion
Week 12: Interface & Application Programming
UI development and application programming
Mobile app development for user interface
Cloud integration for data storage and analysis
Machine learning pipeline for IC score calculation
Week 13: Wildcard & Final Integration
Final orders and complete system deployment
Final testing, validation, and documentation
System integration and deployment
Week 0 - Introduction & Design
Project ideation and initial concept development for bioprinting rejuvenated tissue and aging biomarker devices.
Project planningConcept sketchesResearch direction
System Integration Plans: Establish the foundational architecture for multimodal data collection by designing the overall system framework that will integrate all six digital biomarkers (grip strength, voice, face, video, reaction time, wearable accelerometer) into a cohesive intrinsic capacity assessment platform.
[Week 0 progress and contributions to final project placeholder]
Week 1 - Principles & Cutting
Version control, laser cutting, and vinyl cutting techniques applied to final project components.
Laser cuttingVinyl cuttingVersion control
System Integration Plans: Fabricate precision-cut housing components and mounting brackets for all sensor modules (force sensors, microphones, cameras, reaction time circuits) using laser cutting, while creating vinyl-cut labels and UI elements for device identification and user guidance.
[Week 1 progress and contributions to final project placeholder]
Week 2 - Embedded Programming
Electronics basics and embedded programming for the aging biomarker device components.
MicrocontrollersProgrammingElectronics
System Integration Plans: Develop embedded programming protocols for real-time data collection from all six biomarker sensors, implementing initial signal processing algorithms and establishing the communication framework for multimodal data fusion.
[Week 2 progress and contributions to final project placeholder]
Week 3 - 3D Scanning & Printing
3D scanning and printing techniques for bioprinting components and device housings.
3D scanning3D printingAI tools
System Integration Plans: Create custom 3D-printed components for camera mounting systems and facial recognition hardware, while developing 3D scanning protocols for ergonomic device design that accommodates all sensor modalities in a user-friendly form factor.
[Week 3 progress and contributions to final project placeholder]
Week 4 - Electronics Design
EDA and schematic design for the aging biomarker device electronics.
EDA toolsSchematic designCircuit design
System Integration Plans: Design comprehensive PCB schematics that integrate force sensor circuits for grip strength measurement, microphone preamplifiers for voice analysis, camera interfaces for facial recognition, and timing circuits for reaction time assessment into a unified electronics platform.
[Week 4 progress and contributions to final project placeholder]
Week 5 - Electronics Production
PCB fabrication, debugging, and assembly for the biomarker device.
PCB fabricationDebuggingAssembly
System Integration Plans: Fabricate and assemble the integrated PCB containing all sensor interfaces, implementing power management systems for continuous operation and establishing data storage protocols for the multimodal biomarker data collection system.
[Week 5 progress and contributions to final project placeholder]
Week 6 - Computer-controlled Machining
CAM and milling for precision components and device housings.
CAMMillingPrecision machining
System Integration Plans: Machine precision mechanical components for the integrated device housing using computer-controlled milling, ensuring proper alignment and mounting for all sensor modules while maintaining ergonomic design for user comfort during multimodal data collection.
[Week 6 progress and contributions to final project placeholder]
Week 7 - Input Devices
Sensors and embedded architectures for data collection in the biomarker device.
SensorsInput devicesData collection
System Integration Plans: Integrate all six input sensor systems (force sensors for grip strength, microphones for voice analysis, cameras for facial recognition and gait analysis, reaction time circuits, and wearable accelerometer) into the unified data collection platform with real-time processing capabilities.
[Week 7 progress and contributions to final project placeholder]
Week 8 - Output Devices
Actuators and system integration for the biomarker device outputs.
ActuatorsOutput devicesSystem integration
System Integration Plans: Implement output devices including display systems for real-time intrinsic capacity feedback and haptic feedback mechanisms for user interaction, creating an intuitive interface for the multimodal biomarker assessment system.
[Week 8 progress and contributions to final project placeholder]
Week 9 - Molding & Casting
Forming and resin techniques for bioprinting molds and device components.
MoldingCastingResins
System Integration Plans: Create custom molded components for the bioprinting aspects of the project and develop specialized casings for sensor protection, ensuring the device can withstand continuous use during multimodal data collection sessions.
[Week 9 progress and contributions to final project placeholder]
Week 10 - Mechanical & Machine Design
Kits and mechanical design for the bioprinting and biomarker device systems.
Mechanical designMachine designSystem integration
System Integration Plans: Complete the mechanical design integration of all system components, implementing calibration protocols for sensor alignment and developing the complete mechanical framework that houses all six digital biomarker measurement systems.
[Week 10 progress and contributions to final project placeholder]
Week 11 - Networking & Communications
BLE, Wi-Fi, and communication protocols for the biomarker device connectivity.
BLEWi-FiCommunications
System Integration Plans: Implement wireless communication protocols (Bluetooth/Wi-Fi) for seamless data transmission from all six sensor modalities, enabling real-time data fusion and establishing connectivity for the wearable accelerometer integration into the multimodal assessment system.
[Week 11 progress and contributions to final project placeholder]
Week 12 - Interface & Application Programming
UI and application development for the biomarker device interface.
UI designApplicationsUser interface
System Integration Plans: Develop the complete user interface and application programming for the multimodal system, implementing the machine learning pipeline for intrinsic capacity score calculation and creating cloud integration for comprehensive data storage and analysis of all biomarker measurements.
[Week 12 progress and contributions to final project placeholder]
Week 13 - Wildcard & Final Orders
Final orders and wildcard week activities for project completion.
Final ordersWildcard activitiesProject completion
System Integration Plans: Complete final system integration, testing, and validation of the complete multimodal intrinsic capacity assessment platform, ensuring all six digital biomarkers work cohesively to provide accurate WHO-defined intrinsic capacity scores across all five domains (locomotor, cognition, vitality, sensory, psychological).
[Week 13 progress and contributions to final project placeholder]
Design Files
[Links to CAD/SVG/assets placeholder.]
Reflections & Learnings
[Reflection notes placeholder.]
Contributions
Acknowledgements and contributions that made this project possible.
Gladyshev Lab and Collaborators
Special thanks to the Gladyshev Lab and collaborators for the fruitful discussions that led to this multimodal intrinsic capacity assessment idea,
which supplements my PhD research goals in aging and longevity. The conceptual framework for integrating multiple digital biomarkers
to assess intrinsic capacity domains emerged from collaborative research discussions on aging biomarkers and healthspan assessment.
Transparent documentation of AI assistance used in this final project work, following course guidelines for ethical AI usage.
AI-Assisted Final Project Page Creation
Cursor AI assisted with creating the final project page structure, setting up navigation links, and organizing weekly progress sections.
The AI helped with HTML structure, responsive design patterns, and creating a comprehensive table of contents for tracking project progress across all weeks.
ChatGPT was used to research and develop the multimodal intrinsic capacity assessment framework, including the comprehensive coverage analysis table and technical pipeline design.
The AI assisted with structuring the WHO-defined intrinsic capacity domains, identifying appropriate digital biomarkers, and designing the fusion architecture for multimodal data processing.
Cursor AI assisted with developing the complete final project page structure, implementing the multimodal intrinsic capacity assessment framework, and creating comprehensive documentation.
The AI helped with HTML structure, responsive design, weekly system integration plans, and organizing the technical documentation for the complete biomarker assessment system.
```
Now let me add the Individual Mastery and Independent Operation section after the Testing section:
```html
Final Project · HTMAA 2025 · Saleem A. Al Dajani
Conceptual visualization of the multimodal intrinsic capacity assessment system integrating grip strength, voice analysis, facial recognition, video motion capture, reaction time measurement, and wearable accelerometer data.
Intrinsic Capacity (IC) Coverage by Digital Biomarkers
Domain
Grip
Voice
Face
Video
Reaction Time
Wearable
Locomotor
✅
🔸
🔸
✅
🔸
✅
Cognition
❌
✅
🔸
🔸
✅
🔸
Vitality
✅
✅
✅
✅
🔸
✅
Sensory
❌
✅
✅
✅
✅
🔸
Psychological
❌
✅
✅
✅
🔸
✅
✅ Strong coverage |
🔸 Partial/indirect |
❌ Not covered |
View full table →
Multimodal IC Pipeline
Inputs: Grip Strength, Voice, Face, Video, Reaction Time, Wearable Accelerometer
Development Approach: Following the spiral model methodology, this final project will iterate through multiple development cycles, each building upon previous work while addressing new requirements and risks.
[Project introduction placeholder - describing the bioprinting and aging biomarker device project.]
[Optional project details placeholder]
Project Goals
[Goal 1] [Details]
[Goal 2] [Details]
[Goal 3] [Details]
Timeline & Milestones
[Milestone 1] [Details]
[Milestone 2] [Details]
Tools & Materials
[Tool/Material 1]
[Tool/Material 2]
Answering Questions
Documenting the final project masterpiece that integrates the range of units covered, addressing all required questions.
What does it do?
[Placeholder: Describe the multimodal intrinsic capacity assessment system functionality]
Who's done what beforehand?
[Placeholder: Literature review and prior work in aging biomarkers and intrinsic capacity assessment]
What sources did you use?
[Placeholder: Research papers, open-source projects, and reference materials]
What did you design?
[Placeholder: Custom hardware, software, and integration systems designed]
What materials and components were used?
[Placeholder: Complete list of materials, sensors, microcontrollers, and components]
Where did they come from?
[Placeholder: Suppliers, vendors, and sourcing information]
How much did they cost?
[Placeholder: Detailed cost breakdown and budget analysis]
What parts and systems were made?
[Placeholder: Custom fabricated parts, 3D printed components, and assembled systems]
What tools and processes were used?
[Placeholder: Laser cutting, 3D printing, PCB fabrication, programming, and testing processes]
What questions were answered?
[Placeholder: Research questions addressed and hypotheses tested]
What worked? What didn't?
[Placeholder: Successes, challenges, and lessons learned]
How was it evaluated?
[Placeholder: Testing protocols, validation methods, and evaluation criteria]
What are the implications?
[Placeholder: Impact on aging research, clinical applications, and future development]
Design
Your project should incorporate 2D and 3D design, multiple additive and subtractive fabrication processes, electronics design and production, embedded microcontroller design, interfacing, and programming, system integration and packaging.
2D Design
2D design work for the multimodal intrinsic capacity assessment system:
[Placeholder: Laser cutting designs for device housing components]
[Placeholder: Vinyl cutting designs for labels and UI elements]
[Placeholder: PCB layout designs and schematics]
[Placeholder: 2D technical drawings and assembly guides]
[Placeholder: User interface mockups and wireframes]
Helpful resources, documentation, and design files for the multimodal intrinsic capacity assessment system.
Open Source Grip Strength Meter
A cost-effective $50 grip strength measurement system that can be further optimized for our multimodal assessment platform.
This open-source design provides an excellent foundation for integrating grip strength measurement into our intrinsic capacity assessment system,
with potential for cost reduction through signal multiplexing on a single processor.
Detailed technical pipeline for processing multiple digital biomarkers to generate intrinsic capacity scores.
Pipeline Architecture
Inputs
• Grip Strength
• Voice
• Face
• Video (motion/gait)
• Reaction Time
• Wearable Accelerometer
→
Feature Extraction
Strength metrics
Prosody features
Facial landmarks
Gait parameters
Response latency
Activity patterns
Embeddings
Features converted to vector representations for multimodal fusion
→
Fusion Layer
Combines multimodal features using attention mechanisms
Output
• Overall IC Score
• Domain sub-scores
→
Domain Scores
Locomotor
Cognition
Vitality
Sensory
Psychological
Weekly System Development Breakdown
How each week of HTMAA 2025 builds toward the complete multimodal intrinsic capacity assessment system.
Week 0: Project Ideation
Initial concept development and planning
Project planning and documentation structure
Research direction and concept sketches
Week 1: Precision Cutting
Laser and vinyl cutting techniques
Device housing components via laser cutting
Sensor mounting brackets and enclosures
Vinyl cutting for device labeling and UI elements
Week 2: Embedded Programming
Electronics basics and microcontroller programming
Microcontroller programming for data collection
Basic sensor interface circuits
Week 3: 3D Scanning & Printing
3D technologies for device components
3D scanning for custom component design
3D printing for device housings
Week 4: Electronics Design
EDA and schematic design
PCB design for grip strength measurement
Sensor interface circuits and signal conditioning
Power management and data storage systems
Week 5: Electronics Production
PCB fabrication and assembly
PCB fabrication and debugging
Component assembly and testing
Week 6: Computer-controlled Machining
CAM and precision milling
Precision components via milling
Custom mechanical parts
Week 7: Input Devices
Sensor integration for data collection
Force sensors for grip strength measurement
Microphones for voice analysis
Camera systems for facial expression analysis
Reaction time measurement circuits
Week 8: Output Devices
Actuators and system integration
Display systems for real-time feedback
Haptic feedback for user interaction
Week 9: Molding & Casting
Forming and resin techniques
3D printing and molding for custom components
Bioprinting molds and device components
Week 10: Mechanical & Machine Design
System integration and mechanical design
Mechanical design for ergonomic device housing
System integration and calibration protocols
Week 11: Networking & Communications
Connectivity and communication protocols
Bluetooth/Wi-Fi connectivity for data transmission
Wearable accelerometer integration and data fusion
Week 12: Interface & Application Programming
UI development and application programming
Mobile app development for user interface
Cloud integration for data storage and analysis
Machine learning pipeline for IC score calculation
Week 13: Wildcard & Final Integration
Final orders and complete system deployment
Final testing, validation, and documentation
System integration and deployment
Week 0 - Introduction & Design
Project ideation and initial concept development for bioprinting rejuvenated tissue and aging biomarker devices.
Project planningConcept sketchesResearch direction
System Integration Plans: Establish the foundational architecture for multimodal data collection by designing the overall system framework that will integrate all six digital biomarkers (grip strength, voice, face, video, reaction time, wearable accelerometer) into a cohesive intrinsic capacity assessment platform.
[Week 0 progress and contributions to final project placeholder]
Week 1 - Principles & Cutting
Version control, laser cutting, and vinyl cutting techniques applied to final project components.
Laser cuttingVinyl cuttingVersion control
System Integration Plans: Fabricate precision-cut housing components and mounting brackets for all sensor modules (force sensors, microphones, cameras, reaction time circuits) using laser cutting, while creating vinyl-cut labels and UI elements for device identification and user guidance.
[Week 1 progress and contributions to final project placeholder]
Week 2 - Embedded Programming
Electronics basics and embedded programming for the aging biomarker device components.
MicrocontrollersProgrammingElectronics
System Integration Plans: Develop embedded programming protocols for real-time data collection from all six biomarker sensors, implementing initial signal processing algorithms and establishing the communication framework for multimodal data fusion.
[Week 2 progress and contributions to final project placeholder]
Week 3 - 3D Scanning & Printing
3D scanning and printing techniques for bioprinting components and device housings.
3D scanning3D printingAI tools
System Integration Plans: Create custom 3D-printed components for camera mounting systems and facial recognition hardware, while developing 3D scanning protocols for ergonomic device design that accommodates all sensor modalities in a user-friendly form factor.
[Week 3 progress and contributions to final project placeholder]
Week 4 - Electronics Design
EDA and schematic design for the aging biomarker device electronics.
EDA toolsSchematic designCircuit design
System Integration Plans: Design comprehensive PCB schematics that integrate force sensor circuits for grip strength measurement, microphone preamplifiers for voice analysis, camera interfaces for facial recognition, and timing circuits for reaction time assessment into a unified electronics platform.
[Week 4 progress and contributions to final project placeholder]
Week 5 - Electronics Production
PCB fabrication, debugging, and assembly for the biomarker device.
PCB fabricationDebuggingAssembly
System Integration Plans: Fabricate and assemble the integrated PCB containing all sensor interfaces, implementing power management systems for continuous operation and establishing data storage protocols for the multimodal biomarker data collection system.
[Week 5 progress and contributions to final project placeholder]
Week 6 - Computer-controlled Machining
CAM and milling for precision components and device housings.
CAMMillingPrecision machining
System Integration Plans: Machine precision mechanical components for the integrated device housing using computer-controlled milling, ensuring proper alignment and mounting for all sensor modules while maintaining ergonomic design for user comfort during multimodal data collection.
[Week 6 progress and contributions to final project placeholder]
Week 7 - Input Devices
Sensors and embedded architectures for data collection in the biomarker device.
SensorsInput devicesData collection
System Integration Plans: Integrate all six input sensor systems (force sensors for grip strength, microphones for voice analysis, cameras for facial recognition and gait analysis, reaction time circuits, and wearable accelerometer) into the unified data collection platform with real-time processing capabilities.
[Week 7 progress and contributions to final project placeholder]
Week 8 - Output Devices
Actuators and system integration for the biomarker device outputs.
ActuatorsOutput devicesSystem integration
System Integration Plans: Implement output devices including display systems for real-time intrinsic capacity feedback and haptic feedback mechanisms for user interaction, creating an intuitive interface for the multimodal biomarker assessment system.
[Week 8 progress and contributions to final project placeholder]
Week 9 - Molding & Casting
Forming and resin techniques for bioprinting molds and device components.
MoldingCastingResins
System Integration Plans: Create custom molded components for the bioprinting aspects of the project and develop specialized casings for sensor protection, ensuring the device can withstand continuous use during multimodal data collection sessions.
[Week 9 progress and contributions to final project placeholder]
Week 10 - Mechanical & Machine Design
Kits and mechanical design for the bioprinting and biomarker device systems.
Mechanical designMachine designSystem integration
System Integration Plans: Complete the mechanical design integration of all system components, implementing calibration protocols for sensor alignment and developing the complete mechanical framework that houses all six digital biomarker measurement systems.
[Week 10 progress and contributions to final project placeholder]
Week 11 - Networking & Communications
BLE, Wi-Fi, and communication protocols for the biomarker device connectivity.
BLEWi-FiCommunications
System Integration Plans: Implement wireless communication protocols (Bluetooth/Wi-Fi) for seamless data transmission from all six sensor modalities, enabling real-time data fusion and establishing connectivity for the wearable accelerometer integration into the multimodal assessment system.
[Week 11 progress and contributions to final project placeholder]
Week 12 - Interface & Application Programming
UI and application development for the biomarker device interface.
UI designApplicationsUser interface
System Integration Plans: Develop the complete user interface and application programming for the multimodal system, implementing the machine learning pipeline for intrinsic capacity score calculation and creating cloud integration for comprehensive data storage and analysis of all biomarker measurements.
[Week 12 progress and contributions to final project placeholder]
Week 13 - Wildcard & Final Orders
Final orders and wildcard week activities for project completion.
Final ordersWildcard activitiesProject completion
System Integration Plans: Complete final system integration, testing, and validation of the complete multimodal intrinsic capacity assessment platform, ensuring all six digital biomarkers work cohesively to provide accurate WHO-defined intrinsic capacity scores across all five domains (locomotor, cognition, vitality, sensory, psychological).
[Week 13 progress and contributions to final project placeholder]
Design Files
[Links to CAD/SVG/assets placeholder.]
Reflections & Learnings
[Reflection notes placeholder.]
Contributions
Acknowledgements and contributions that made this project possible.
Gladyshev Lab and Collaborators
Special thanks to the Gladyshev Lab and collaborators for the fruitful discussions that led to this multimodal intrinsic capacity assessment idea,
which supplements my PhD research goals in aging and longevity. The conceptual framework for integrating multiple digital biomarkers
to assess intrinsic capacity domains emerged from collaborative research discussions on aging biomarkers and healthspan assessment.
Transparent documentation of AI assistance used in this final project work, following course guidelines for ethical AI usage.
AI-Assisted Final Project Page Creation
Cursor AI assisted with creating the final project page structure, setting up navigation links, and organizing weekly progress sections.
The AI helped with HTML structure, responsive design patterns, and creating a comprehensive table of contents for tracking project progress across all weeks.
ChatGPT was used to research and develop the multimodal intrinsic capacity assessment framework, including the comprehensive coverage analysis table and technical pipeline design.
The AI assisted with structuring the WHO-defined intrinsic capacity domains, identifying appropriate digital biomarkers, and designing the fusion architecture for multimodal data processing.
Cursor AI assisted with developing the complete final project page structure, implementing the multimodal intrinsic capacity assessment framework, and creating comprehensive documentation.
The AI helped with HTML structure, responsive design, weekly system integration plans, and organizing the technical documentation for the complete biomarker assessment system.
Conceptual visualization of the multimodal intrinsic capacity assessment system integrating grip strength, voice analysis, facial recognition, video motion capture, reaction time measurement, and wearable accelerometer data.
Intrinsic Capacity (IC) Coverage by Digital Biomarkers
Domain
Grip
Voice
Face
Video
Reaction Time
Wearable
Locomotor
✅
🔸
🔸
✅
🔸
✅
Cognition
❌
✅
🔸
🔸
✅
🔸
Vitality
✅
✅
✅
✅
🔸
✅
Sensory
❌
✅
✅
✅
✅
🔸
Psychological
❌
✅
✅
✅
🔸
✅
✅ Strong coverage |
🔸 Partial/indirect |
❌ Not covered |
View full table →
Multimodal IC Pipeline
Inputs: Grip Strength, Voice, Face, Video, Reaction Time, Wearable Accelerometer
Development Approach: Following the spiral model methodology, this final project will iterate through multiple development cycles, each building upon previous work while addressing new requirements and risks.
[Project introduction placeholder - describing the bioprinting and aging biomarker device project.]
[Optional project details placeholder]
Project Goals
[Goal 1] [Details]
[Goal 2] [Details]
[Goal 3] [Details]
Timeline & Milestones
[Milestone 1] [Details]
[Milestone 2] [Details]
Tools & Materials
[Tool/Material 1]
[Tool/Material 2]
Answering Questions
Documenting the final project masterpiece that integrates the range of units covered, addressing all required questions.
What does it do?
[Placeholder: Describe the multimodal intrinsic capacity assessment system functionality]
Who's done what beforehand?
[Placeholder: Literature review and prior work in aging biomarkers and intrinsic capacity assessment]
What sources did you use?
[Placeholder: Research papers, open-source projects, and reference materials]
What did you design?
[Placeholder: Custom hardware, software, and integration systems designed]
What materials and components were used?
[Placeholder: Complete list of materials, sensors, microcontrollers, and components]
Where did they come from?
[Placeholder: Suppliers, vendors, and sourcing information]
How much did they cost?
[Placeholder: Detailed cost breakdown and budget analysis]
What parts and systems were made?
[Placeholder: Custom fabricated parts, 3D printed components, and assembled systems]
What tools and processes were used?
[Placeholder: Laser cutting, 3D printing, PCB fabrication, programming, and testing processes]
What questions were answered?
[Placeholder: Research questions addressed and hypotheses tested]
What worked? What didn't?
[Placeholder: Successes, challenges, and lessons learned]
How was it evaluated?
[Placeholder: Testing protocols, validation methods, and evaluation criteria]
What are the implications?
[Placeholder: Impact on aging research, clinical applications, and future development]
Design
Your project should incorporate 2D and 3D design, multiple additive and subtractive fabrication processes, electronics design and production, embedded microcontroller design, interfacing, and programming, system integration and packaging.
2D Design
2D design work for the multimodal intrinsic capacity assessment system:
[Placeholder: Laser cutting designs for device housing components]
[Placeholder: Vinyl cutting designs for labels and UI elements]
[Placeholder: PCB layout designs and schematics]
[Placeholder: 2D technical drawings and assembly guides]
[Placeholder: User interface mockups and wireframes]
[Placeholder: Skills demonstration across all units]
[Placeholder: Progressive development documentation]
Group Assignments
Collaborative work and individual contributions:
[Placeholder: Group project contributions]
[Placeholder: Individual role and responsibilities]
[Placeholder: Collaborative learning outcomes]
Useful Documentation
Helpful resources, documentation, and design files for the multimodal intrinsic capacity assessment system.
Open Source Grip Strength Meter
A cost-effective $50 grip strength measurement system that can be further optimized for our multimodal assessment platform.
This open-source design provides an excellent foundation for integrating grip strength measurement into our intrinsic capacity assessment system,
with potential for cost reduction through signal multiplexing on a single processor.
Detailed technical pipeline for processing multiple digital biomarkers to generate intrinsic capacity scores.
Pipeline Architecture
Inputs
• Grip Strength
• Voice
• Face
• Video (motion/gait)
• Reaction Time
• Wearable Accelerometer
→
Feature Extraction
Strength metrics
Prosody features
Facial landmarks
Gait parameters
Response latency
Activity patterns
Embeddings
Features converted to vector representations for multimodal fusion
→
Fusion Layer
Combines multimodal features using attention mechanisms
Output
• Overall IC Score
• Domain sub-scores
→
Domain Scores
Locomotor
Cognition
Vitality
Sensory
Psychological
Weekly System Development Breakdown
How each week of HTMAA 2025 builds toward the complete multimodal intrinsic capacity assessment system.
Week 0: Project Ideation
Initial concept development and planning
Project planning and documentation structure
Research direction and concept sketches
Week 1: Precision Cutting
Laser and vinyl cutting techniques
Device housing components via laser cutting
Sensor mounting brackets and enclosures
Vinyl cutting for device labeling and UI elements
Week 2: Embedded Programming
Electronics basics and microcontroller programming
Microcontroller programming for data collection
Basic sensor interface circuits
Week 3: 3D Scanning & Printing
3D technologies for device components
3D scanning for custom component design
3D printing for device housings
Week 4: Electronics Design
EDA and schematic design
PCB design for grip strength measurement
Sensor interface circuits and signal conditioning
Power management and data storage systems
Week 5: Electronics Production
PCB fabrication and assembly
PCB fabrication and debugging
Component assembly and testing
Week 6: Computer-controlled Machining
CAM and precision milling
Precision components via milling
Custom mechanical parts
Week 7: Input Devices
Sensor integration for data collection
Force sensors for grip strength measurement
Microphones for voice analysis
Camera systems for facial expression analysis
Reaction time measurement circuits
Week 8: Output Devices
Actuators and system integration
Display systems for real-time feedback
Haptic feedback for user interaction
Week 9: Molding & Casting
Forming and resin techniques
3D printing and molding for custom components
Bioprinting molds and device components
Week 10: Mechanical & Machine Design
System integration and mechanical design
Mechanical design for ergonomic device housing
System integration and calibration protocols
Week 11: Networking & Communications
Connectivity and communication protocols
Bluetooth/Wi-Fi connectivity for data transmission
Wearable accelerometer integration and data fusion
Week 12: Interface & Application Programming
UI development and application programming
Mobile app development for user interface
Cloud integration for data storage and analysis
Machine learning pipeline for IC score calculation
Week 13: Wildcard & Final Integration
Final orders and complete system deployment
Final testing, validation, and documentation
System integration and deployment
Week 0 - Introduction & Design
Project ideation and initial concept development for bioprinting rejuvenated tissue and aging biomarker devices.
Project planningConcept sketchesResearch direction
System Integration Plans: Establish the foundational architecture for multimodal data collection by designing the overall system framework that will integrate all six digital biomarkers (grip strength, voice, face, video, reaction time, wearable accelerometer) into a cohesive intrinsic capacity assessment platform.
[Week 0 progress and contributions to final project placeholder]
Week 1 - Principles & Cutting
Version control, laser cutting, and vinyl cutting techniques applied to final project components.
Laser cuttingVinyl cuttingVersion control
System Integration Plans: Fabricate precision-cut housing components and mounting brackets for all sensor modules (force sensors, microphones, cameras, reaction time circuits) using laser cutting, while creating vinyl-cut labels and UI elements for device identification and user guidance.
[Week 1 progress and contributions to final project placeholder]
Week 2 - Embedded Programming
Electronics basics and embedded programming for the aging biomarker device components.
MicrocontrollersProgrammingElectronics
System Integration Plans: Develop embedded programming protocols for real-time data collection from all six biomarker sensors, implementing initial signal processing algorithms and establishing the communication framework for multimodal data fusion.
[Week 2 progress and contributions to final project placeholder]
Week 3 - 3D Scanning & Printing
3D scanning and printing techniques for bioprinting components and device housings.
3D scanning3D printingAI tools
System Integration Plans: Create custom 3D-printed components for camera mounting systems and facial recognition hardware, while developing 3D scanning protocols for ergonomic device design that accommodates all sensor modalities in a user-friendly form factor.
[Week 3 progress and contributions to final project placeholder]
Week 4 - Electronics Design
EDA and schematic design for the aging biomarker device electronics.
EDA toolsSchematic designCircuit design
System Integration Plans: Design comprehensive PCB schematics that integrate force sensor circuits for grip strength measurement, microphone preamplifiers for voice analysis, camera interfaces for facial recognition, and timing circuits for reaction time assessment into a unified electronics platform.
[Week 4 progress and contributions to final project placeholder]
Week 5 - Electronics Production
PCB fabrication, debugging, and assembly for the biomarker device.
PCB fabricationDebuggingAssembly
System Integration Plans: Fabricate and assemble the integrated PCB containing all sensor interfaces, implementing power management systems for continuous operation and establishing data storage protocols for the multimodal biomarker data collection system.
[Week 5 progress and contributions to final project placeholder]
Week 6 - Computer-controlled Machining
CAM and milling for precision components and device housings.
CAMMillingPrecision machining
System Integration Plans: Machine precision mechanical components for the integrated device housing using computer-controlled milling, ensuring proper alignment and mounting for all sensor modules while maintaining ergonomic design for user comfort during multimodal data collection.
[Week 6 progress and contributions to final project placeholder]
Week 7 - Input Devices
Sensors and embedded architectures for data collection in the biomarker device.
SensorsInput devicesData collection
System Integration Plans: Integrate all six input sensor systems (force sensors for grip strength, microphones for voice analysis, cameras for facial recognition and gait analysis, reaction time circuits, and wearable accelerometer) into the unified data collection platform with real-time processing capabilities.
[Week 7 progress and contributions to final project placeholder]
Week 8 - Output Devices
Actuators and system integration for the biomarker device outputs.
ActuatorsOutput devicesSystem integration
System Integration Plans: Implement output devices including display systems for real-time intrinsic capacity feedback and haptic feedback mechanisms for user interaction, creating an intuitive interface for the multimodal biomarker assessment system.
[Week 8 progress and contributions to final project placeholder]
Week 9 - Molding & Casting
Forming and resin techniques for bioprinting molds and device components.
MoldingCastingResins
System Integration Plans: Create custom molded components for the bioprinting aspects of the project and develop specialized casings for sensor protection, ensuring the device can withstand continuous use during multimodal data collection sessions.
[Week 9 progress and contributions to final project placeholder]
Week 10 - Mechanical & Machine Design
Kits and mechanical design for the bioprinting and biomarker device systems.
Mechanical designMachine designSystem integration
System Integration Plans: Complete the mechanical design integration of all system components, implementing calibration protocols for sensor alignment and developing the complete mechanical framework that houses all six digital biomarker measurement systems.
[Week 10 progress and contributions to final project placeholder]
Week 11 - Networking & Communications
BLE, Wi-Fi, and communication protocols for the biomarker device connectivity.
BLEWi-FiCommunications
System Integration Plans: Implement wireless communication protocols (Bluetooth/Wi-Fi) for seamless data transmission from all six sensor modalities, enabling real-time data fusion and establishing connectivity for the wearable accelerometer integration into the multimodal assessment system.
[Week 11 progress and contributions to final project placeholder]
Week 12 - Interface & Application Programming
UI and application development for the biomarker device interface.
UI designApplicationsUser interface
System Integration Plans: Develop the complete user interface and application programming for the multimodal system, implementing the machine learning pipeline for intrinsic capacity score calculation and creating cloud integration for comprehensive data storage and analysis of all biomarker measurements.
[Week 12 progress and contributions to final project placeholder]
Week 13 - Wildcard & Final Orders
Final orders and wildcard week activities for project completion.
Final ordersWildcard activitiesProject completion
System Integration Plans: Complete final system integration, testing, and validation of the complete multimodal intrinsic capacity assessment platform, ensuring all six digital biomarkers work cohesively to provide accurate WHO-defined intrinsic capacity scores across all five domains (locomotor, cognition, vitality, sensory, psychological).
[Week 13 progress and contributions to final project placeholder]
Design Files
[Links to CAD/SVG/assets placeholder.]
Reflections & Learnings
[Reflection notes placeholder.]
Contributions
Acknowledgements and contributions that made this project possible.
Gladyshev Lab and Collaborators
Special thanks to the Gladyshev Lab and collaborators for the fruitful discussions that led to this multimodal intrinsic capacity assessment idea,
which supplements my PhD research goals in aging and longevity. The conceptual framework for integrating multiple digital biomarkers
to assess intrinsic capacity domains emerged from collaborative research discussions on aging biomarkers and healthspan assessment.
Transparent documentation of AI assistance used in this final project work, following course guidelines for ethical AI usage.
AI-Assisted Final Project Page Creation
Cursor AI assisted with creating the final project page structure, setting up navigation links, and organizing weekly progress sections.
The AI helped with HTML structure, responsive design patterns, and creating a comprehensive table of contents for tracking project progress across all weeks.
ChatGPT was used to research and develop the multimodal intrinsic capacity assessment framework, including the comprehensive coverage analysis table and technical pipeline design.
The AI assisted with structuring the WHO-defined intrinsic capacity domains, identifying appropriate digital biomarkers, and designing the fusion architecture for multimodal data processing.
Cursor AI assisted with developing the complete final project page structure, implementing the multimodal intrinsic capacity assessment framework, and creating comprehensive documentation.
The AI helped with HTML structure, responsive design, weekly system integration plans, and organizing the technical documentation for the complete biomarker assessment system.
```
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Let me check for any linting errors in the file:
Great! Now let me complete the reorganization of the table of contents to make it more logical and aesthetically pleasing. I'll reorganize the sections to flow better:
```html
Final Project · HTMAA 2025 · Saleem A. Al Dajani
Conceptual visualization of the multimodal intrinsic capacity assessment system integrating grip strength, voice analysis, facial recognition, video motion capture, reaction time measurement, and wearable accelerometer data.
Intrinsic Capacity (IC) Coverage by Digital Biomarkers
Domain
Grip
Voice
Face
Video
Reaction Time
Wearable
Locomotor
✅
🔸
🔸
✅
🔸
✅
Cognition
❌
✅
🔸
🔸
✅
🔸
Vitality
✅
✅
✅
✅
🔸
✅
Sensory
❌
✅
✅
✅
✅
🔸
Psychological
❌
✅
✅
✅
🔸
✅
✅ Strong coverage |
🔸 Partial/indirect |
❌ Not covered |
View full table →
Multimodal IC Pipeline
Inputs: Grip Strength, Voice, Face, Video, Reaction Time, Wearable Accelerometer
Development Approach: Following the spiral model methodology, this final project will iterate through multiple development cycles, each building upon previous work while addressing new requirements and risks.
[Project introduction placeholder - describing the bioprinting and aging biomarker device project.]
[Optional project details placeholder]
Project Goals
[Goal 1] [Details]
[Goal 2] [Details]
[Goal 3] [Details]
Timeline & Milestones
[Milestone 1] [Details]
[Milestone 2] [Details]
Tools & Materials
[Tool/Material 1]
[Tool/Material 2]
Answering Questions
Documenting the final project masterpiece that integrates the range of units covered, addressing all required questions.
What does it do?
[Placeholder: Describe the multimodal intrinsic capacity assessment system functionality]
Who's done what beforehand?
[Placeholder: Literature review and prior work in aging biomarkers and intrinsic capacity assessment]
What sources did you use?
[Placeholder: Research papers, open-source projects, and reference materials]
What did you design?
[Placeholder: Custom hardware, software, and integration systems designed]
What materials and components were used?
[Placeholder: Complete list of materials, sensors, microcontrollers, and components]
Where did they come from?
[Placeholder: Suppliers, vendors, and sourcing information]
How much did they cost?
[Placeholder: Detailed cost breakdown and budget analysis]
What parts and systems were made?
[Placeholder: Custom fabricated parts, 3D printed components, and assembled systems]
What tools and processes were used?
[Placeholder: Laser cutting, 3D printing, PCB fabrication, programming, and testing processes]
What questions were answered?
[Placeholder: Research questions addressed and hypotheses tested]
What worked? What didn't?
[Placeholder: Successes, challenges, and lessons learned]
How was it evaluated?
[Placeholder: Testing protocols, validation methods, and evaluation criteria]
What are the implications?
[Placeholder: Impact on aging research, clinical applications, and future development]
Design
Your project should incorporate 2D and 3D design, multiple additive and subtractive fabrication processes, electronics design and production, embedded microcontroller design, interfacing, and programming, system integration and packaging.
2D Design
2D design work for the multimodal intrinsic capacity assessment system:
[Placeholder: Laser cutting designs for device housing components]
[Placeholder: Vinyl cutting designs for labels and UI elements]
[Placeholder: PCB layout designs and schematics]
[Placeholder: 2D technical drawings and assembly guides]
[Placeholder: User interface mockups and wireframes]
[Placeholder: Skills demonstration across all units]
[Placeholder: Progressive development documentation]
Group Assignments
Collaborative work and individual contributions:
[Placeholder: Group project contributions]
[Placeholder: Individual role and responsibilities]
[Placeholder: Collaborative learning outcomes]
Useful Documentation
Helpful resources, documentation, and design files for the multimodal intrinsic capacity assessment system.
Open Source Grip Strength Meter
A cost-effective $50 grip strength measurement system that can be further optimized for our multimodal assessment platform.
This open-source design provides an excellent foundation for integrating grip strength measurement into our intrinsic capacity assessment system,
with potential for cost reduction through signal multiplexing on a single processor.
Detailed technical pipeline for processing multiple digital biomarkers to generate intrinsic capacity scores.
Pipeline Architecture
Inputs
• Grip Strength
• Voice
• Face
• Video (motion/gait)
• Reaction Time
• Wearable Accelerometer
→
Feature Extraction
Strength metrics
Prosody features
Facial landmarks
Gait parameters
Response latency
Activity patterns
Embeddings
Features converted to vector representations for multimodal fusion
→
Fusion Layer
Combines multimodal features using attention mechanisms
Output
• Overall IC Score
• Domain sub-scores
→
Domain Scores
Locomotor
Cognition
Vitality
Sensory
Psychological
Weekly System Development Breakdown
How each week of HTMAA 2025 builds toward the complete multimodal intrinsic capacity assessment system.
Week 0: Project Ideation
Initial concept development and planning
Project planning and documentation structure
Research direction and concept sketches
Week 1: Precision Cutting
Laser and vinyl cutting techniques
Device housing components via laser cutting
Sensor mounting brackets and enclosures
Vinyl cutting for device labeling and UI elements
Week 2: Embedded Programming
Electronics basics and microcontroller programming
Microcontroller programming for data collection
Basic sensor interface circuits
Week 3: 3D Scanning & Printing
3D technologies for device components
3D scanning for custom component design
3D printing for device housings
Week 4: Electronics Design
EDA and schematic design
PCB design for grip strength measurement
Sensor interface circuits and signal conditioning
Power management and data storage systems
Week 5: Electronics Production
PCB fabrication and assembly
PCB fabrication and debugging
Component assembly and testing
Week 6: Computer-controlled Machining
CAM and precision milling
Precision components via milling
Custom mechanical parts
Week 7: Input Devices
Sensor integration for data collection
Force sensors for grip strength measurement
Microphones for voice analysis
Camera systems for facial expression analysis
Reaction time measurement circuits
Week 8: Output Devices
Actuators and system integration
Display systems for real-time feedback
Haptic feedback for user interaction
Week 9: Molding & Casting
Forming and resin techniques
3D printing and molding for custom components
Bioprinting molds and device components
Week 10: Mechanical & Machine Design
System integration and mechanical design
Mechanical design for ergonomic device housing
System integration and calibration protocols
Week 11: Networking & Communications
Connectivity and communication protocols
Bluetooth/Wi-Fi connectivity for data transmission
Wearable accelerometer integration and data fusion
Week 12: Interface & Application Programming
UI development and application programming
Mobile app development for user interface
Cloud integration for data storage and analysis
Machine learning pipeline for IC score calculation
Week 13: Wildcard & Final Integration
Final orders and complete system deployment
Final testing, validation, and documentation
System integration and deployment
Week 0 - Introduction & Design
Project ideation and initial concept development for bioprinting rejuvenated tissue and aging biomarker devices.
Project planningConcept sketchesResearch direction
System Integration Plans: Establish the foundational architecture for multimodal data collection by designing the overall system framework that will integrate all six digital biomarkers (grip strength, voice, face, video, reaction time, wearable accelerometer) into a cohesive intrinsic capacity assessment platform.
[Week 0 progress and contributions to final project placeholder]
Week 1 - Principles & Cutting
Version control, laser cutting, and vinyl cutting techniques applied to final project components.
Laser cuttingVinyl cuttingVersion control
System Integration Plans: Fabricate precision-cut housing components and mounting brackets for all sensor modules (force sensors, microphones, cameras, reaction time circuits) using laser cutting, while creating vinyl-cut labels and UI elements for device identification and user guidance.
[Week 1 progress and contributions to final project placeholder]
Week 2 - Embedded Programming
Electronics basics and embedded programming for the aging biomarker device components.
MicrocontrollersProgrammingElectronics
System Integration Plans: Develop embedded programming protocols for real-time data collection from all six biomarker sensors, implementing initial signal processing algorithms and establishing the communication framework for multimodal data fusion.
[Week 2 progress and contributions to final project placeholder]
Week 3 - 3D Scanning & Printing
3D scanning and printing techniques for bioprinting components and device housings.
3D scanning3D printingAI tools
System Integration Plans: Create custom 3D-printed components for camera mounting systems and facial recognition hardware, while developing 3D scanning protocols for ergonomic device design that accommodates all sensor modalities in a user-friendly form factor.
[Week 3 progress and contributions to final project placeholder]
Week 4 - Electronics Design
EDA and schematic design for the aging biomarker device electronics.
EDA toolsSchematic designCircuit design
System Integration Plans: Design comprehensive PCB schematics that integrate force sensor circuits for grip strength measurement, microphone preamplifiers for voice analysis, camera interfaces for facial recognition, and timing circuits for reaction time assessment into a unified electronics platform.
[Week 4 progress and contributions to final project placeholder]
Week 5 - Electronics Production
PCB fabrication, debugging, and assembly for the biomarker device.
PCB fabricationDebuggingAssembly
System Integration Plans: Fabricate and assemble the integrated PCB containing all sensor interfaces, implementing power management systems for continuous operation and establishing data storage protocols for the multimodal biomarker data collection system.
[Week 5 progress and contributions to final project placeholder]
Week 6 - Computer-controlled Machining
CAM and milling for precision components and device housings.
CAMMillingPrecision machining
System Integration Plans: Machine precision mechanical components for the integrated device housing using computer-controlled milling, ensuring proper alignment and mounting for all sensor modules while maintaining ergonomic design for user comfort during multimodal data collection.
[Week 6 progress and contributions to final project placeholder]
Week 7 - Input Devices
Sensors and embedded architectures for data collection in the biomarker device.
SensorsInput devicesData collection
System Integration Plans: Integrate all six input sensor systems (force sensors for grip strength, microphones for voice analysis, cameras for facial recognition and gait analysis, reaction time circuits, and wearable accelerometer) into the unified data collection platform with real-time processing capabilities.
[Week 7 progress and contributions to final project placeholder]
Week 8 - Output Devices
Actuators and system integration for the biomarker device outputs.
ActuatorsOutput devicesSystem integration
System Integration Plans: Implement output devices including display systems for real-time intrinsic capacity feedback and haptic feedback mechanisms for user interaction, creating an intuitive interface for the multimodal biomarker assessment system.
[Week 8 progress and contributions to final project placeholder]
Week 9 - Molding & Casting
Forming and resin techniques for bioprinting molds and device components.
MoldingCastingResins
System Integration Plans: Create custom molded components for the bioprinting aspects of the project and develop specialized casings for sensor protection, ensuring the device can withstand continuous use during multimodal data collection sessions.
[Week 9 progress and contributions to final project placeholder]
Week 10 - Mechanical & Machine Design
Kits and mechanical design for the bioprinting and biomarker device systems.
Mechanical designMachine designSystem integration
System Integration Plans: Complete the mechanical design integration of all system components, implementing calibration protocols for sensor alignment and developing the complete mechanical framework that houses all six digital biomarker measurement systems.
[Week 10 progress and contributions to final project placeholder]
Week 11 - Networking & Communications
BLE, Wi-Fi, and communication protocols for the biomarker device connectivity.
BLEWi-FiCommunications
System Integration Plans: Implement wireless communication protocols (Bluetooth/Wi-Fi) for seamless data transmission from all six sensor modalities, enabling real-time data fusion and establishing connectivity for the wearable accelerometer integration into the multimodal assessment system.
[Week 11 progress and contributions to final project placeholder]
Week 12 - Interface & Application Programming
UI and application development for the biomarker device interface.
UI designApplicationsUser interface
System Integration Plans: Develop the complete user interface and application programming for the multimodal system, implementing the machine learning pipeline for intrinsic capacity score calculation and creating cloud integration for comprehensive data storage and analysis of all biomarker measurements.
[Week 12 progress and contributions to final project placeholder]
Week 13 - Wildcard & Final Orders
Final orders and wildcard week activities for project completion.
Final ordersWildcard activitiesProject completion
System Integration Plans: Complete final system integration, testing, and validation of the complete multimodal intrinsic capacity assessment platform, ensuring all six digital biomarkers work cohesively to provide accurate WHO-defined intrinsic capacity scores across all five domains (locomotor, cognition, vitality, sensory, psychological).
[Week 13 progress and contributions to final project placeholder]
Design Files
[Links to CAD/SVG/assets placeholder.]
Reflections & Learnings
[Reflection notes placeholder.]
Contributions
Acknowledgements and contributions that made this project possible.
Gladyshev Lab and Collaborators
Special thanks to the Gladyshev Lab and collaborators for the fruitful discussions that led to this multimodal intrinsic capacity assessment idea,
which supplements my PhD research goals in aging and longevity. The conceptual framework for integrating multiple digital biomarkers
to assess intrinsic capacity domains emerged from collaborative research discussions on aging biomarkers and healthspan assessment.
Transparent documentation of AI assistance used in this final project work, following course guidelines for ethical AI usage.
AI-Assisted Final Project Page Creation
Cursor AI assisted with creating the final project page structure, setting up navigation links, and organizing weekly progress sections.
The AI helped with HTML structure, responsive design patterns, and creating a comprehensive table of contents for tracking project progress across all weeks.
ChatGPT was used to research and develop the multimodal intrinsic capacity assessment framework, including the comprehensive coverage analysis table and technical pipeline design.
The AI assisted with structuring the WHO-defined intrinsic capacity domains, identifying appropriate digital biomarkers, and designing the fusion architecture for multimodal data processing.
Cursor AI assisted with developing the complete final project page structure, implementing the multimodal intrinsic capacity assessment framework, and creating comprehensive documentation.
The AI helped with HTML structure, responsive design, weekly system integration plans, and organizing the technical documentation for the complete biomarker assessment system.
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Now let me complete the final todo tasks and mark them as completed:
Perfect! I have successfully updated your final project page to address all the requirements from the MIT Academy project presentation guidelines. Here's a summary of what I've accomplished:
## ✅ Completed Updates
### 1. **Answering Questions Section**
- Added a comprehensive section with all 13 required questions from the MIT Academy guidelines
- Each question has placeholder answers ready for you to fill in
- Questions cover: What it does, prior work, sources, design, materials, costs, parts made, tools used, questions answered, what worked/didn't, evaluation, and implications
### 2. **Project Presentation Section**
- Added under the vision board with placeholders for:
- Summary slide download
- One minute video showing conception, construction, and operation
### 3. **Design Section (2D & 3D)**
- Created comprehensive design section with subsections for:
- 2D Design (laser cutting, vinyl cutting, PCB layouts, UI mockups)
- 3D Design (3D printing, custom components, sensor mounting)
- Fabrication processes integration (additive, subtractive, electronics, programming)
### 4. **Bill of Materials Section**
- Added with two subsections:
- **Bill of Materials**: Complete component lists, cost breakdown
- **Make vs Buy**: Strategic decisions on fabrication vs purchasing with color-coded categories
### 5. **Individual Mastery and Independent Operation**
- Created section addressing:
- Individual mastery across all course units
- Independent operation requirements
- Standalone functionality and user independence
### 6. **Course Presentation Section**
- Added section for presenting:
- Final project presentation
- Weekly assignments integration
- Group assignments and individual contributions
### 7. **Spiral Model Visualization**
- Added to vision board section with:
- Spiral model image from your finalproject folder
- Explanation of development approach
- Four development cycles (minimal → expansions)
- Link to Wikipedia spiral model information
### 8. **Reorganized Table of Contents**
- Restructured into logical flow:
- **Project Overview**: Basic project information
- **Design & Development**: Technical implementation
- **Technical & Progress**: Analysis and documentation
- **Weekly Progress**: Condensed week-by-week navigation
## 🎯 MIT Academy Requirements Coverage
Your final project page now addresses **all** the requirements from the MIT Academy project presentation guidelines:
✅ **Document a final project masterpiece** - Complete structure in place
✅ **Answer all required questions** - 13-question section with placeholders
✅ **Prepare summary slide and video** - Placeholders in Project Presentation section
✅ **Incorporate 2D and 3D design** - Comprehensive Design section
✅ **Multiple fabrication processes** - Additive, subtractive, electronics, programming
✅ **Make rather than buy** - Make vs Buy analysis in BOM section
✅ **Individual mastery and independent operation** - Dedicated section
✅ **Present weekly and group assignments** - Course Presentation section
The page is now well-organized, aesthetically pleasing, and maintains all your existing content while adding the required MIT Academy structure. All sections have placeholder content ready for you to fill in as you progress through your project development.
This work is licensed under a
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
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