Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

4-2015

Abstract

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.

Keywords

Aug-mented reality, Movement guidance, Physiotherapy, Visualization

Discipline

Graphics and Human Computer Interfaces | Health Information Technology

Research Areas

Information Systems and Management

Publication

CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, Seoul, 2015 April 18-23

First Page

4123

Last Page

4132

ISBN

9781450331456

Identifier

10.1145/2702123.2702401

Publisher

Association for Computing Machinery

City or Country

Seoul

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1145/2702123.2702401

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