3 June 2011 Biometrics security by dynamics of left and right sole pressure while walking
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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.
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Takahiro Takeda, Takahiro Takeda, Kei Kuramoto, Kei Kuramoto, Syoji Kobashi, Syoji Kobashi, Yutaka Hata, Yutaka Hata, "Biometrics security by dynamics of left and right sole pressure while walking", Proc. SPIE 8058, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX, 805814 (3 June 2011); doi: 10.1117/12.883343; https://doi.org/10.1117/12.883343

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