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Gait Type Classification Using Pressure Sensor of Smart Insole

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2018, 23(2), pp.17-26
  • DOI : 10.9708/jksci.2018.23.02.017
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : January 15, 2018
  • Accepted : February 5, 2018
  • Published : February 28, 2018

Woo-Duk Seo 1 LEESUNGSIN 1 Won-Yong Shin 1 Sang-Il Choi 1

1단국대학교

Accredited

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.

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