Summary
Monitoring hand rehabilitation can be difficult without accessible tools that provide consistent, objective feedback. This project addresses that challenge by developing a low-cost, non-contact system that uses a smartphone to track hand movement in real time. The system combines digital image correlation and hand pose estimation to measure surface strain and joint motion. It provides visualizations and quantitative data to support assessment of motor performance. The goal is to enable more effective, personalized rehabilitation in home and remote settings.