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스마트 깔창의 압력센서를 이용한 보행형태 분류

Gait Type Classification Using Pressure Sensor of Smart Insole

이성신|최상일|신원용|서우덕
한국컴퓨터정보학회 (The Korean Society Of Computer And Information)|2018.02|한국컴퓨터정보학회논문지 (Journal of The Korea Society of Computer and Information)|제23권 제2호|pp. 17-26|DOI https://doi.org/10.9708/jksci.2018.23.02.017

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참고문헌

키워드

ClassifierDiscriminant AnalysisPressure SensorSmart InsoleGait Type Classification
주제분류컴퓨터학

초록

In this paper, we propose a gait type classification method based on pressure sensor which reflects various terrain and velocity variations. In order to obtain stable gait classification performance, we divide the whole gait data into several steps by detecting the swing phase, and normalize each step. Then, we extract robust features for both topographic variation and speed variation by using the Null-LDA(Null-Space Linear Discriminant Analysis) method. The experimental results show that the proposed method gives a good performance of gait type classification even though there is a change in the gait velocity and the terrain.

Abstract

In this paper, we propose a gait type classification method based on pressure sensor which reflects various terrain and velocity variations. In order to obtain stable gait classification performance, we divide the whole gait data into several steps by detecting the swing phase, and normalize each step. Then, we extract robust features for both topographic variation and speed variation by using the Null-LDA(Null-Space Linear Discriminant Analysis) method. The experimental results show that the proposed method gives a good performance of gait type classification even though there is a change in the gait velocity and the terrain.

참고문헌 (40)

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