2013
DOI: 10.1155/2013/620312
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On Optimal Operator for Combining Left and Right Sole Pressure Data in Biometrics Security

Abstract: This paper describes optimal operator for combining left and right sole pressure data in a personal authentication method by dynamic change of sole pressure distribution while walking. The method employs a pair of right and left sole pressure distribution change data. These data are acquired by a mat-type load distribution sensor. The system extracts features based on shape of sole and weight shift from each sole pressure distribution. We calculate fuzzy degrees of right and left sole pressures for a registere… Show more

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Cited by 4 publications
(1 citation statement)
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“…Figure 6 illustrates the variability in left footsteps for the unshod and standard shoe trials. The distinctness of COP profiles between individuals has been well documented in the literature [11], [27]- [29], and the variability of foot COP has also been shown to be affected by footwear [30]. The COP EP and COP DTW techniques were able to accurately classify samples for some of the twenty individuals with a very high degree of accuracy (> 95%), yet they were entirely unsuccessful for some participants and shoe types, resulting in accuracies of around 50%, equivalent to random guessing.…”
Section: A Foot Classification Algorithmsmentioning
confidence: 89%
“…Figure 6 illustrates the variability in left footsteps for the unshod and standard shoe trials. The distinctness of COP profiles between individuals has been well documented in the literature [11], [27]- [29], and the variability of foot COP has also been shown to be affected by footwear [30]. The COP EP and COP DTW techniques were able to accurately classify samples for some of the twenty individuals with a very high degree of accuracy (> 95%), yet they were entirely unsuccessful for some participants and shoe types, resulting in accuracies of around 50%, equivalent to random guessing.…”
Section: A Foot Classification Algorithmsmentioning
confidence: 89%