Real-time human pose detection and tracking for tele-rehabilitation in virtual reality
Obdržálek, S.ěp.án.; Kurillo, G.; Han, J.; Abresch, T.; Bajcsy, R.
Studies in Health Technology and Informatics 173: 320-324
2012
ISSN/ISBN: 0926-9630 PMID: 22357010 Document Number: 658499
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.