Abstract
Remote and home-based coaching expand access to expert guidance, yet their safety and effectiveness depend on in situ, joint-level assessment. We introduce KneeSense, a smart-textile knee brace that integrates dual inertial measurement units (IMUs) and a miniature time-of-flight (ToF) range sensor to produce actionable, per-repetition analytics for remote training and rehabilitation. The IMUs provide 3D orientation and acceleration, while the ToF sensor captures millimeter-scale distance changes during flexion/extension to disambiguate depth/phase and mitigate drift. From IMU-ToF signals, KneeSense computes knee flexion angle, angular speed, knee-to-knee range, and an acceleration-based instability index that flags technique issues associated with injury risk. Embedded in a washable textile sleeve, the system processes data locally to detect form deviations in real time. Bluetooth transmits summary metrics to a companion app for user feedback and remote coach/therapist review, without continuous raw-data streaming. Together, these capabilities provide a camera-free, on-body approach to joint-level form assessment that supports safer technique, improved adherence, and scalable remote care, while laying the groundwork for future closed-loop feedback.
| Original language | English |
|---|---|
| Title of host publication | SmartWear '25: Proceedings of the 3rd ACM Workshop on Smart Wearable Systems and Applications |
| Publisher | Association for Computing Machinery |
| Pages | 25-30 |
| ISBN (Electronic) | 9798400719806 |
| DOIs | |
| Publication status | Published - 2 Dec 2025 |
Keywords
- rehabilitation
- sensing
- assessment
- smart textiles
- wearable computing