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Proceedings Paper

Biometrics security by dynamics of left and right sole pressure while walking
Author(s): Takahiro Takeda; Kei Kuramoto; Syoji Kobashi; Yutaka Hata
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Paper Abstract

This paper describes a biometric personal authentication method based on fuzzy logic using dynamics of sole pressure distribution while walking. The method employs a pair of right and left sole pressure data. These data are acquired by a mat type load distribution sensor. The proposed method has two processes. First, we calculate a fuzzy degree of each sole pressure data. In this process, we extract several gait features based on weight shift and shape of footprint. Fuzzy ifthen rules for each registered person are introduced. In it, their parameters are statistically optimized in learning process. Second, we combine fuzzy degrees of right and left sole. In this process, we employ five operators. The method authenticates walking person with the combined fuzzy degree. We calculate the fuzzy degree of an interest person for all registered persons, and identify the interest person as the registered person with the highest fuzzy degree. While, we verify the interest person as the target person if the fuzzy degree of the interest person calculated for a target person is higher than a threshold. In an experiment on 50 volunteers, we obtained low false rejection and false acceptance rates.

Paper Details

Date Published: 4 June 2011
PDF: 11 pages
Proc. SPIE 8058, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX, 805814 (4 June 2011); doi: 10.1117/12.883343
Show Author Affiliations
Takahiro Takeda, Univ. of Hyogo (Japan)
Kei Kuramoto, Univ. of Hyogo (Japan)
Osaka Univ. (Japan)
Syoji Kobashi, Univ. of Hyogo (Japan)
Osaka Univ. (Japan)
Yutaka Hata, Univ. of Hyogo (Japan)
Osaka Univ. (Japan)


Published in SPIE Proceedings Vol. 8058:
Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX
Harold Szu, Editor(s)

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