Authors
Hiroki Tamura1, [email protected], Keiko Sakurai2, [email protected], Koichi Tanno1
1
Faculty of Engineering, University of Miyazaki, 1-1, Gakuen-kibanadai-nishi, Miyazaki-shi, Japan
2
University of Miyazaki, 1-1, Gakuen-kibanadai-nishi, Miyazaki-shi, Japan
Available Online 30 September 2018.
DOI
https://doi.org/10.2991/jrnal.2018.5.2.2How to use a DOI?
Keywords
Locomotive Syndrome; Acceleration sensor; Gyro Sensor; Stride Estimation Method; Smartphone
Abstract
The stride is an important parameter in human motion analysis and has been extensively studied by many researchers. This paper focuses on smartphones that are popular in the world, regardless of the measurement environment. In previous research, the stride estimation using the acceleration sensor or the gyro sensor mounted on the smartphone had been studied. However, the stride estimation accuracy has an error rate of about over 10 %. In this paper, we propose a highly accurate stride estimation method using stride correction parameter obtained from cross section movement in addition to conventional sagittal surface stride using acceleration sensor and gyro sensor mounted on a smartphone. Based on the testing results, the error rate of our proposed method with the stride estimated by the Kinect sensor (RGB-D sensor) as the true value was about 6%. It makes possible to estimate the stride with high accuracy.

Copyright
Copyright © 2018, the Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).