Abstract
| Language | English |
|---|---|
| Title of host publication | 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP) |
| Publisher | IEEE |
| Pages | 285-289 |
| Number of pages | 5 |
| ISBN (Print) | 9781479975914 |
| DOIs | |
| Publication status | Published - 1 Dec 2015 |
| Event | GLOBALSIP-2015 - FL, Orlando, United States Duration: 14 Dec 2015 → 16 Dec 2015 |
Conference
| Conference | GLOBALSIP-2015 |
|---|---|
| Country | United States |
| City | Orlando |
| Period | 14/12/15 → 16/12/15 |
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Keywords
- gait analysis
- single depth camera
- multimedia signal processing
- mobile multimedia content analysis
Cite this
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Gait analysis using a single depth camera. / Ye, Minxiang; Yang, Cheng; Stankovic, Vladimir; Stankovic, Lina; Kerr, Andrew.
2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2015. p. 285-289.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - Gait analysis using a single depth camera
AU - Ye, Minxiang
AU - Yang, Cheng
AU - Stankovic, Vladimir
AU - Stankovic, Lina
AU - Kerr, Andrew
PY - 2015/12/1
Y1 - 2015/12/1
N2 - Abstract—Gait analysis is often used as part of the rehabilitation program for post-stoke recovery assessment. Since current optical diagnostic and patient assessment tools tend to be expensive and not portable, this paper proposes a novel marker-based tracking system using a single depth camera which provides a cost-effective solution suitable for home and clinic use. The proposed system can simultaneously generate motion patterns even within a complex background using the proposed geometric model-based algorithm and autonomously provide gait analysis results. The processed rehabilitation data can be accessed by cross-platform mobile devices using cloud-based services enabling emerging telerehabilitation practices. Experimental validation shows a good agreement with state-of-the-art non-portable and expensive industrial standards.
AB - Abstract—Gait analysis is often used as part of the rehabilitation program for post-stoke recovery assessment. Since current optical diagnostic and patient assessment tools tend to be expensive and not portable, this paper proposes a novel marker-based tracking system using a single depth camera which provides a cost-effective solution suitable for home and clinic use. The proposed system can simultaneously generate motion patterns even within a complex background using the proposed geometric model-based algorithm and autonomously provide gait analysis results. The processed rehabilitation data can be accessed by cross-platform mobile devices using cloud-based services enabling emerging telerehabilitation practices. Experimental validation shows a good agreement with state-of-the-art non-portable and expensive industrial standards.
KW - gait analysis
KW - single depth camera
KW - multimedia signal processing
KW - mobile multimedia content analysis
UR - http://2015.ieeeglobalsip.org/
U2 - 10.1109/GlobalSIP.2015.7418202
DO - 10.1109/GlobalSIP.2015.7418202
M3 - Conference contribution book
SN - 9781479975914
SP - 285
EP - 289
BT - 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
PB - IEEE
ER -