Abstract
We present a real-time algorithm for human pose detection and tracking from vision-based 3D data and its application to tele-rehabilitation in virtual environments. We employ stereo camera(s) to capture 3D avatars of geographically dislocated patient and therapist in real-time, while sending the data remotely and displaying it in a virtual scene. A pose detection and tracking algorithm extracts kinematic parameters from each participant and determines pose similarity. The pose similarity score is used to quantify patient's performance and provide real-time feedback for remote rehabilitation.
Original language | English (US) |
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Title of host publication | Studies in Health Technology and Informatics |
Pages | 320-324 |
Number of pages | 5 |
Volume | 173 |
DOIs | |
State | Published - 2012 |
Event | Medicine Meets Virtual Reality 19: NextMed, MMVR 2012 - Newport Beach, CA, United States Duration: Feb 9 2012 → Feb 11 2012 |
Other
Other | Medicine Meets Virtual Reality 19: NextMed, MMVR 2012 |
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Country/Territory | United States |
City | Newport Beach, CA |
Period | 2/9/12 → 2/11/12 |
Keywords
- Human pose estimation and tracking
- Stereo vision
- Tele-rehabilitation
ASJC Scopus subject areas
- Biomedical Engineering
- Health Informatics
- Health Information Management