Non-Contact Vital Sensing Systems Using a Motion Capture Device: Medical and Healthcare Applications

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The development of a low-cost noninvasive motion capture device for use in physiotherapy clinics and as a diagnostic tool attracts enormous attention. In this study, we aimed to investigate the feasibility of medical and healthcare applications of the Kinect v2 motion capture devices based on practical medical needs. In particular, we developed three applications: a non-contact respiration monitoring system for the diagnosis of COPD, a rehabilitation assistance system, and a three-dimensional skeletal motion viewer system.

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171-176

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July 2016

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© 2016 Trans Tech Publications Ltd. All Rights Reserved

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[1] Microsoft Corporation, Kinect for Windows, http: /www. microsoft. com/enus/kinectforwindows.

Google Scholar

[2] Y. Yuminaka, T. Mori, K. Watanabe, M. Hasegawa and K. Shirakura, Vital sensing systems using Kinect and their applications to rehabilitation assistance and non-contact respiration measurement, 1st International Symposium on Gunma University Medical Innovation, P24, (2014).

DOI: 10.4028/www.scientific.net/kem.698.171

Google Scholar

[3] J. Xia and R.A. Siochi, A real-time respiratory motion monitoring system using KINECT: proof of concept, Med. Phys., 39(5), pp.2682-2685, (2012).

DOI: 10.1118/1.4704644

Google Scholar

[4] 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

[5] 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

[6] I. Satoh, Breath movement measurement by two cameras FG monitoring system and its applications, Ph.D. thesis, Keio University, (2012).

Google Scholar