Rehabilitation Assistance Systems for Three-Dimensional Gait Analysis Using Motion Capture Devices

Yasushi Yuminaka; Motoaki Fujii; Syogo Nakazato; Setsuki Tsukagoshi; Yoshio Ikeda; Makoto Hasegawa; Naoki Wada

doi:10.4028/www.scientific.net/AEF.38.209

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Rehabilitation Assistance Systems for Three-Dimensional Gait Analysis Using Motion Capture Devices
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HomeAdvanced Engineering ForumAdvanced Engineering Forum Vol. 38Rehabilitation Assistance Systems for...

Rehabilitation Assistance Systems for Three-Dimensional Gait Analysis Using Motion Capture Devices

Abstract:

Patients with Parkinson’s disease or stroke show symptoms of motor disorders that disturb gait and mobility. Although the objective and/or quantitative assessment of the rehabilitation to evaluate the degree of improvement is significantly important, three-dimensional (3D) motion capture systems to evaluate body movement are very expensive and require many markers attached to patients. The purpose of this study was to investigate the feasibility of medical and healthcare ICT-supported rehabilitation assistance systems for 3D gait analysis using low-cost markerless motion capture devices in response to practical clinical needs. The clinical data obtained by our system showed that there were significant differences between the patient group and the healthy subject group.

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Periodical:

Advanced Engineering Forum (Volume 38)

Pages:

209-214

DOI:

https://doi.org/10.4028/www.scientific.net/AEF.38.209

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Online since:

November 2020

Authors:

Yasushi Yuminaka*, Motoaki Fujii, Syogo Nakazato, Setsuki Tsukagoshi, Yoshio Ikeda, Makoto Hasegawa, Naoki Wada

Keywords:

Gait Analysis, Kinect, Motion Capture Device, Rehabilitation

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References

[1] Y. Yuminaka, M. Fujii, A. Manabe, M. Hasegawa and N. Wada, Rehabilitation Assistance System Using a Motion Capture Device and Virtual Reality Feedback,, 3rd International Symposium on Gunma University Medical Innovation (GUMI), P17, (2016).

DOI: 10.4028/www.scientific.net/amm.888.37

Google Scholar

[2] Microsoft Corporation, Kinect for Windows,, http://www.microsoft.com/en-us/ kinectforwindows.

Google Scholar

[3] Y-J. Chang, S-F. Chen, and J-D Huang, A kinect-based system for physical rehabilitation: A pilot study for young adults with motor disabilities,, Research in Developmental Disabilities, 32(6), pp.2566-2570, (2011).

DOI: 10.1016/j.ridd.2011.07.002

Google Scholar

[4] C-Y. Chang et.al, Towards pervasive physical rehabilitation using Microsoft Kinect,, International Conference on pervasive Computing Technologies for Healthcare, pp.159-162, (2012).

DOI: 10.4108/icst.pervasivehealth.2012.248714

Google Scholar

[5] B. Müller, W. Ilg, M. Giese, N. Ludolph, Improved Kinect sensor based motion capturing system for gait assessment,, bioRxiv 098863; doi: https://doi.org/10.1101/098863, (2017).

DOI: 10.1101/098863

Google Scholar

[6] Y. Yuminaka, M. Fujii, A. Manabe, S. Tsukagoshi, Y. Ikeda, M. Hasegawa and N. Wada, Rehabilitation Assistance Systems Using Motion Capture Devices and Virtual Reality Feedback,, International Conference on Technology and Social Science, KL-03, (2018).

DOI: 10.4028/www.scientific.net/amm.888.37

Google Scholar

[7] Y. Yuminaka, M. Fujii, A. Manabe, M. Hasegawa and N. Wada, Rehabilitation Assistance Using Motion Capture Devices and Virtual Reality Feedback,, Applied Mechanics and Materials, 888, pp.37-42; doi: https://doi.org/10.4028/www.scientific.net/AMM.888.37, (2019).

DOI: 10.4028/www.scientific.net/amm.888.37

Google Scholar