KneeSense: A Smart-Textile Knee Brace for In Situ Form Assessment in Remote Training and Rehabilitation

Rongrong GONG, Haosong ZHONG, Mitch Guijun LI*

*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

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 languageEnglish
Title of host publicationSmartWear '25: Proceedings of the 3rd ACM Workshop on Smart Wearable Systems and Applications
PublisherAssociation for Computing Machinery
Pages25-30
ISBN (Electronic)9798400719806
DOIs
Publication statusPublished - 2 Dec 2025

Keywords

  • rehabilitation
  • sensing
  • assessment
  • smart textiles
  • wearable computing

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