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

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.

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Publication Details

Published
2025-11-04
DOI
https://doi.org/10.1145/3737903.3768569
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Roland Gong, Haosong Zhong, Guijun Li
Balance, Gait, and Falls Prevention
article

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

Roland Gong, Haosong Zhong, Guijun Li
article en

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.

Hong Kong University of Science and Technology (HK), University of Hong Kong (HK)
Hong Kong University of Science and Technology, State Key Laboratory of Advanced Displays and Optoelectronics Technologies, Hong Kong University of Science and Technology
Openalex Percentile: Top 44%
Balance, Gait, and Falls Prevention
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KneeSense: A Smart-Textile Knee Brace for In Situ Form Assessment in Remote Training and Rehabilitation — Roland Gong, Haosong Zhong, et al. · (2025) | TGRS Research Map | TGRS