KNEESENSE: a low-cost wearable system with hydraulic filament sensing for real-time knee rehabilitation monitoring
Knee injuries, if not properly rehabilitated, can lead to long-term gait impairment. However, access to rehabilitation is often limited by cost, travel, and adherence challenges, especially in developing countries. Despite advances in soft sensor technologies, current home-based rehabilitation systems often lack the affordability, portability, and usability needed for broad adoption. This study presents a novel, low-cost, and fully wearable wireless system designed to monitor knee joint angles during rehabilitation with high precision and user convenience. At the core of the system is a custom-designed wearable hydraulic filament sensor (WHFS), costing just $5, integrated into a knee pad and paired with a reusable $20 wireless data acquisition (DAQ) unit. The DAQ transmits real-time joint angle data to a companion mobile app, featuring automatic calibration for consistent multi-user performance. The WHFS distinguishes itself through its optimized hydraulic sensing mechanism, offering a minimum detectable displacement of 0.2 mm, a sensitivity of 2.65, and maximum hysteresis of 4.6%. Testing shows robust performance with an RMSE of 4.1° in angle estimation and just 0.57% signal degradation after 100 full-range flexion cycles. By combining affordability, portability, and precision, this system addresses key barriers in home-based rehabilitation and offers a scalable, noninvasive solution for improving recovery outcomes.
Authors
- Do Thanh Nho
- Mai Thanh Thai (ORCID: https://orcid.org/0000-0001-9930-5493)
- Phuoc Thien Phan (ORCID: https://orcid.org/0000-0001-5833-6939)
- Girish K. Krishnan
- Elizabeth T. Hsiao-Wecksler
- Sy Trung Ngo
- Phuong Cao
- Minh Tri Phan
- Nhu An Phan
- Nghiep Quy Duong
Institutions
- University of Illinois Urbana-Champaign (US)
- UNSW Sydney (AU)
- National Center for Supercomputing Applications (US)
- VinUniversity (VN)
Publication Details
- Journal
- Scientific Reports
- Published
- 2026-03-08
- DOI
- https://doi.org/10.1038/s41598-026-42424-z
- Primary Topic
- Prosthetics and Rehabilitation Robotics
- Type
- article
- Field-Weighted Citation Impact
- 0.00