Deep Learning Based Estimation of Ground Reaction Forces Using Wearable Smart Insoles
Biomedical Engineering
Noah Kettner
Abstract
This project develops a smart insole system that uses an array of pressure sensors to capture plantar pressure during walking. A machine learning model is trained to estimate ground reaction forces and center of pressure from this wearable data, reducing the need for traditional lab-based equipment.
The system aims to enable portable, real-world biomechanical analysis for applications in sports performance and rehabilitation.