| Issue |
MATEC Web Conf.
Volume 125, 2017
21st International Conference on Circuits, Systems, Communications and Computers (CSCC 2017)
|
|
|---|---|---|
| Article Number | 05011 | |
| Number of page(s) | 5 | |
| Section | Signal Processing | |
| DOI | https://doi.org/10.1051/matecconf/201712505011 | |
| Published online | 04 October 2017 | |
Extraction of Human Stepping Pattern Using Acceleration Sensors
Graduate School of Science and Engineering, Kagoshima University, Kagoshima, 890-0065, Japan
* Corresponding author: toyohira@kagoshima-ct.ac.jp
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 diagrams 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.
© The Authors, published by EDP Sciences, 2017
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