Abstract
This paper presents a gait authentication based on time-normalized gait cycles. Unlike most of the previous works in gait recognition, using machine vision techniques, in our approach gait patterns are obtained from a physical sensor attached to the hip. Acceleration in 3 directions: up-down, forward-backward and sideways of the hip movement, which is obtained by the sensor, is used for authentication. Furthermore, we also present a study on the security strength of gait biometric against imitating or mimicking attacks, which has not been addressed in biometric gait recognition so far.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11915034_125.
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Gafurov, D., Snekkenes, E., Buvarp, T.E. (2006). Robustness of Biometric Gait Authentication Against Impersonation Attack. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops. OTM 2006. Lecture Notes in Computer Science, vol 4277. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11915034_71
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DOI: https://doi.org/10.1007/11915034_71
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