Physio@Home: Exploring visual guidance and feedback techniques for physiotherapy exercises

• Main Authors: TANG, Richard, YANG, Xing-Dong, BATEMAN, Scott, JORGE, Joaquim, TANG, Anthony
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Aug-mented reality; Movement guidance; Physiotherapy; Visualization; Graphics and Human Computer Interfaces; Health Information Technology
• Online Access: https://ink.library.smu.edu.sg/sis_research/7997; https://ink.library.smu.edu.sg/context/sis_research/article/9000/viewcontent/2702123.2702401.pdf
• Institution: Singapore Management University

Physiotherapy patients exercising at home alone are at risk of re-injury since they do not have corrective guidance from a therapist. To explore solutions to this problem, we designed Physio@Home, a prototype that guides people through pre-recorded physiotherapy exercises using realtime visual guides and multi-camera views. Our design addresses several aspects of corrective guidance, including: plane and range of movement, joint positions and angles, and extent of movement. We evaluated our design, comparing how closely people could follow exercise movements under various feedback conditions. Participants were most accurate when using our visual guide and multi-views. We provide suggestions for exercise guidance systems drawn from qualitative findings on visual feedback complexity.