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Above the Clouds

Facilitating Self-Monitored Rehabilitation With Biofeedback and Virtual Reality


Prof. Yuntao Wang and Prof. Yuanchun Shi,

Tsinghua University Pervasive Computing Group, Beijing


Working on submission to IMWUT'22 February round (first author)


March 2021 - present


Team lead

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Rehabilitation is a crucial part of recovery after total knee arthroplasty (TKA) which remains the most effective treatment for end-stage arthropathy. Studies have shown that if performed in a quality manner, repetitive and sufficient motor-centered rehabilitation could improve post-surgery motor abilities as well as health-related quality of life. Yet in China, post-surgery clinical or at-home rehabilitation is seldomly provided due to the limited hospital resources and the lack of appropriate supervision during at-home rehabilitation. We thus propose a VR-based and biofeedback supplemented closed-loop self-monitoring rehabilitation system to facilitate unsupervised therapeutically appropriate rehabilitation. We propose a rehabilitation system based on collaborative design with the therapists and characterize the system based on iterative prototypes and evaluation. The system is then evaluated through in-the-wild test sessions with the patients. 

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haptic feedback hardware setup

(portable 3d printed box)


Airbag and vibrator straps

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IMU tracking straps

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Segmenting a move for analysis

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