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

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publicationStudies in Health Technology and Informatics
Pages320-324
Number of pages5
Volume173
DOIs
StatePublished - 2012
EventMedicine Meets Virtual Reality 19: NextMed, MMVR 2012 - Newport Beach, CA, United States
Duration: Feb 9 2012Feb 11 2012

Other

OtherMedicine Meets Virtual Reality 19: NextMed, MMVR 2012
CountryUnited States
CityNewport Beach, CA
Period2/9/122/11/12

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

    Obdržálek, Š., Kurillo, G., Han, J., Abresch, T., & Bajcsy, R. (2012). Real-time human pose detection and tracking for tele-rehabilitation in virtual reality. In Studies in Health Technology and Informatics (Vol. 173, pp. 320-324) https://doi.org/10.3233/978-1-61499-022-2-320