Author(s): Obdrlek S, Kurillo G, Han J, Abresch T, Bajcsy R
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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.
This article was published in Stud Health Technol Inform
and referenced in International Journal of Physical Medicine & Rehabilitation