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 | |
| 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 |
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Keywords
- Human pose estimation and tracking
- Stereo vision
- Tele-rehabilitation
ASJC Scopus subject areas
- Biomedical Engineering
- Health Informatics
- Health Information Management
Cite this
Real-time human pose detection and tracking for tele-rehabilitation in virtual reality. / Obdržálek, Štěpán; Kurillo, Gregorij; Han, Jay; Abresch, Ted; Bajcsy, Ruzena.
Studies in Health Technology and Informatics. Vol. 173 2012. p. 320-324.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Real-time human pose detection and tracking for tele-rehabilitation in virtual reality
AU - Obdržálek, Štěpán
AU - Kurillo, Gregorij
AU - Han, Jay
AU - Abresch, Ted
AU - Bajcsy, Ruzena
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Human pose estimation and tracking
KW - Stereo vision
KW - Tele-rehabilitation
UR - http://www.scopus.com/inward/record.url?scp=84860645603&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84860645603&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-022-2-320
DO - 10.3233/978-1-61499-022-2-320
M3 - Conference contribution
C2 - 22357010
AN - SCOPUS:84860645603
SN - 9781614990215
VL - 173
SP - 320
EP - 324
BT - Studies in Health Technology and Informatics
ER -