WSEAS Transactions on Signal Processing


Print ISSN: 1790-5052
E-ISSN: 2224-3488

Volume 13, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.



Analysis of Human Stepping Time Intervals Using Acceleration Sensors

AUTHORS: Takayuki Toyohira, Kiminori Sato, Mutsumi Watanabe

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ABSTRACT: Gait analysis plays an important role in characterizing individuals and each condition and gait analysis systems have been developed using various devices or instruments. However, most systems do not catch synchronous stepping actions between right foot and left foot. For obtaining a precise gait pattern, a synchronous walking sensing system is developed, in which a pair of acceleration and angular velocity sensors are attached to left and right shoes of a walking person and their data are transmitted to a PC through a wireless channel. Walking data from 19 persons of the age of 14 to 20 are acquired for walking analysis. Stepping time diagrams are extracted from the acquired data of right and left foot actions of stepping-off and-on the ground, and the time interval analyses distinguish between an ordinary person and a person injured on left leg, and a stepping recovery process of the injured person is shown. Synchronous sensing of stepping action between right foot and left foot contributes to obtain precise stepping patterns.

KEYWORDS: gait, analysis, acquisition system, acceleration sensor, pattern extraction, daiagram

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WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 13, 2017, Art. #21, pp. 190-195


Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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