Assistive Technology / Product Design
NeuroSole — Smart Adaptive Insole
Overview
Designed and prototyped NeuroSole, a smart insole concept combining custom geometry, adjustable cushioning, and pressure sensing to improve how pressure is distributed across the foot.
Problem
Poor pressure distribution across the foot can contribute to discomfort and, over time, tissue damage. NeuroSole explores whether a custom-geometry insole with embedded pressure sensing can help identify and inform adjustments to abnormal loading patterns.
My Role
I developed the insole geometry in CAD, produced physical prototypes through 3D printing, and helped evaluate materials, manufacturing costs, and product feasibility while developing the project for entrepreneurship competitions.
Design Process
I developed the insole geometry in CAD and produced physical prototypes through 3D printing, iterating on the shape and support profile to create a wearable form.
CAD / Engineering
CAD representation of the custom insole geometry used to develop and iterate on the wearable form and support profile.
System Concept
The NeuroSole concept combines several layers and subsystems: a top fabric cover, a pressure sensor array, embedded computing using an ESP32 concept, battery and vibration-feedback components, and a 3D-printed TPU base. The sensing system is intended to collect pressure data across different regions of the foot and provide feedback that could help inform support adjustments or identify abnormal loading patterns.
Digital / Data Interface Concept
The project also included a mobile-interface concept for displaying collected foot-pressure data — real-time pressure heatmaps, pressure values by foot region, weekly pressure trends, alert history, risk indicators, and longitudinal tracking.
These are concept / UI designs, not evidence of a fully deployed production application.
Prototype
- Custom insole geometry developed in CAD and 3D printed
- Adjustable cushioning and support profile, iterated across prototypes
- Proposed pressure sensor array for foot-loading data
- Proposed ESP32-based edge computing, battery, and vibration-feedback motor
- 3D-printed TPU base
Testing
[Add testing details — how the physical prototype and/or sensing concept were validated]
Results
NeuroSole received recognition through the Blue Ocean Entrepreneurship Competition and the Diamond Challenge. [Add exact placement / award details if desired]
Challenges
[Add challenges — material / structure iteration, sensor integration, feasibility tradeoffs]
What I Learned
[Add takeaways from this project]
