Real-time human pose detection and tracking for tele-rehabilitation in virtual reality

Štěpán Obdržálek; Gregorij Kurillo; Jay Han; Ted Abresch; Ruzena Bajcsy

doi:10.3233/978-1-61499-022-2-320

Real-time human pose detection and tracking for tele-rehabilitation in virtual reality

Štěpán Obdržálek, Gregorij Kurillo, Jay Han, Ted Abresch, Ruzena Bajcsy

Physical Medicine and Rehabilitation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

18 Scopus citations

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)
Title of host publication	Studies in Health Technology and Informatics
Pages	320-324
Number of pages	5
Volume	173
DOIs	https://doi.org/10.3233/978-1-61499-022-2-320
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
Country	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

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Cite this

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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.",

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AU - Obdržálek, Štěpán

AU - Kurillo, Gregorij

AU - Han, Jay

AU - Abresch, Ted

AU - Bajcsy, Ruzena

PY - 2012

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KW - Tele-rehabilitation

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