Detection Technique of Individual Characteristic Appearing in Walking Motion

Koichi Kurita,Syota Morinaga

doi:10.1109/access.2019.2943495

Koichi Kurita, Syota Morinaga

Open Access

https://doi.org/10.1109/access.2019.2943495

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Abstract

In this study, we develop a technique to measure walking under noncontact conditions by using an ultrahigh sensitivity electrostatic induction technique. The results of walking measurements using this technique indicate that the detected electrostatic-induced current waveform exhibits a peak at the time of foot contact or detachment owing to walking. Based on these results, we construct a theoretical model in which an induced current is generated, and the correspondence relationship between walking and electrostatic-induced current is revealed. Furthermore, when comparing the walking signals of each participant, we used a scalogram obtained by performing a wavelet transformation on the walking signal. Person identification was attempted by learning the participant’s scalogram using a convolutional neural network (CNN).

Highlights

To improve the quality of human life, measurements of human motion such as walking motion have been performed for many years
In our previous study [27], we proposed a method for the noncontact detection of walking motion from a position approximately 3 m away from a participant using an ultrasensitive electrostatic induction detection technique
We present the identification result obtained from deep learning using the scalogram as learning data

Summary

Introduction

To improve the quality of human life, measurements of human motion such as walking motion have been performed for many years. Analysis of walking motion is performed by a method using motion capture [2]. Studies have been conducted to compare optical motion capture with Kinect, to evaluate the appropriateness of performance [3], and to study medical applications using Kinect [4]. In the field of clinical gait analysis, the force plate was used as one of the conventional methods of gait analysis [7]. Research has been done on instrumentation by incorporating a force plate into a treadmill [8].

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