Home // CENTRIC 2020, The Thirteenth International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services // View article

Estimation of Body Part Acceleration While Walking Using Frequency Analysis

Authors:
Shohei Hontama
Kyoko Shibata
Yoshio Inoue
Hironobu Satoh

Keywords: Fourier analysis; gait analysis; motion mode function

Abstract:
This study group is developing a mobile system that can easily estimate the floor reaction force with a small number of wearable sensors for reduced user burden. In this study, we proposed a method to measure accelerations by wearable inertial sensors and estimate the floor reaction force based on it. Up to now, the number of sensors reduced from 15 of whole- body parts to 5 selected considering burden on a user. However, the estimation accuracy decreased. Therefore, considering reducing the number of sensors without sacrificing accuracy. In the previous report, the relations between the acceleration of each part of the body were quantified by analyzing the acceleration of each part in the Fourier analysis and expressing it in the frequency domain. This paper quantifies the relations between the accelerations of the head and the upper trunk using previously reported methods, then estimate the head acceleration from the upper trunk acceleration. As a result, it was possible to capture the characteristics of the head acceleration in two directions while walking and estimate it accurately.

Pages: 19 to 22

Copyright: Copyright (c) IARIA, 2020

Publication date: October 18, 2020

Published in: conference

ISSN: 2308-3492

ISBN: 978-1-61208-829-7

Location: Porto, Portugal

Dates: from October 18, 2020 to October 22, 2020