한국컴퓨터정보학회논문지 (Journal of the Korea Society of Computer and Information)

  • 제23권2호
  • /
  • Pages.17-26
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  • 2018
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  • 1598-849X(pISSN)
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  • 2383-9945(eISSN)
한국컴퓨터정보학회 (Korean Society of Computer Information)
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Gait Type Classification Using Pressure Sensor of Smart Insole

  • Seo, Woo-Duk (Dept. of Data Science, Dankook University) ;
  • Lee, Sung-Sin (Dept. of Data Science, Dankook University) ;
  • Shin, Won-Yong (Dept. of Computer Science and Engineering, Dankook University) ;
  • Choi, Sang-Il (Dept. of Computer Science and Engineering, Dankook University)
  • 투고 : 2018.01.15
  • 심사 : 2018.02.05
  • 발행 : 2018.02.28
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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.

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참고문헌

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