Home // ACHI 2018, The Eleventh International Conference on Advances in Computer-Human Interactions // View article


Basic Study for a New Analysis Method of Biological Signals to Evaluate in Human Walking

Authors:
Tatsuo Hisaoka
Naoki Hashimoto
Yusuke Kobayashi
Masaya Hori
Mayu Maeda
Hiroaki Inoue
Shunji Simizu

Keywords: Human walking; Surface myoelectric potential; Walk assisting apparatus; Analysis method; Biological signal.

Abstract:
Recently, in developed countries, especially in Japan, the population of elderly people in increase. The load of, care person's operation for elderly people has been increasing more and more. Most important for care operation is to support for elderly people's walking. There are many reports for analysis of Human Walking, but there are few usage things within commercially available products that is able to support according Human walk. And the utilization rate in 8.7% of those in Japan. Therefore, it is bionic, and the development of the expensive walk apparatus of the application is necessary. The purpose of this study is to propose a new analysis method of biological signals to evaluate in human walking. Concretely, in this experiment, a new measurement system was developed for human walk movement analysis by embedded system include a microcomputer chip and a motion tracking device. Using this system, electrical muscular potential and the acceleration of toe or instep of foot. In this result, this measurement system was made clearly to discriminate the different of walking movements between wearing a pair of sandal or not. We think that these data are useful to design guideline for new accessibility system for human walking.

Pages: 27 to 32

Copyright: Copyright (c) IARIA, 2018

Publication date: March 25, 2018

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-616-3

Location: Rome, Italy

Dates: from March 25, 2018 to March 29, 2018