Gait analysis using a single depth camera

Ye, Minxiang and Yang, Cheng and Stankovic, Vladimir and Stankovic, Lina and Kerr, Andrew; (2015) Gait analysis using a single depth camera. In: 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, USA, pp. 285-289. ISBN 9781479975914 (https://doi.org/10.1109/GlobalSIP.2015.7418202)

[thumbnail of Ye-etal-GSIP205-gait-analysis-using-single-depth-camera]
Preview
 Text. Filename: Ye_etal_GSIP205_gait_analysis_using_single_depth_camera.pdf
Accepted Author Manuscript
Download (551kB)| Preview

Abstract

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.

ORCID iDs

Ye, Minxiang ORCID logoORCID: https://orcid.org/0000-0003-0083-7145, Yang, Cheng ORCID logoORCID: https://orcid.org/0000-0002-3540-1598, Stankovic, Vladimir ORCID logoORCID: https://orcid.org/0000-0002-1075-2420, Stankovic, Lina ORCID logoORCID: https://orcid.org/0000-0002-8112-1976 and Kerr, Andrew ORCID logoORCID: https://orcid.org/0000-0002-7666-9283;
CORE (COnnecting REpositories)