title: Real-time human pose detection and tracking for tele-rehabilitation in virtual reality.
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.
authors.affiliation: University of California, Berkeley, USA. xobdrzal@eecs.berkeley.edu
authors.forename: Stěpán
authors.initials: S
authors.lastname: Obdržálek
authors.forename: Gregorij
authors.initials: G
authors.lastname: Kurillo
authors.forename: Jay
authors.initials: J
authors.lastname: Han
authors.forename: Ted
authors.initials: T
authors.lastname: Abresch
authors.forename: Ruzena
authors.initials: R
authors.lastname: Bajcsy
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D006801:Humans; D011187:Posture; D012046:Rehabilitation; D017216:Telemedicine; D014584:User-Computer Interface