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ThinkMind // International Journal On Advances in Life Sciences, volume 9, numbers 3 and 4, 2017 // View article lifsci_v9_n34_2017_11


Comparative Analysis of Walking Gait Cycle between Healthy People and Walking Disabilities to Prevent Tripping Using Wearable Device and KINECT

Authors:
Yoshitoshi Murata
Shohei Yoshida
Takayuki Niinuma
Kazuhiro Yoshida

Keywords: fall, trip, hemiplegia, gait, shoes, MS-KINECT

Abstract:
Elderly people, especially walking disabilities, have an increased risk of falling and consequently injuring themselves. They need to be prevented from falling to maintain their health because injuries from falling are a major reason for them to be hospitalized or placed in residential care. Motion capture systems are a key component to prevent falls. We comparably analyzed walking gait cycle between healthy people and walking disabilities using a wearable device (WD) and KINECT to detect warning signs of falls. In this paper, we experimentally clarify what signs are useful to prevent falls. We developed a gait monitoring device comprised of a smartphone application and a pair of shoes on which WDs are mounted to measure such warning signs, and proposed presentation formats for data measured by KINETC.

Pages: 186 to 197

Copyright: Copyright (c) to authors, 2017. Used with permission.

Publication date: December 31, 2017

Published in: journal

ISSN: 1942-2660

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