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)

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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.