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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Gafurov, D., Snekkenes, E., & Buvarp, T. E. (2006). Robustness of biometric gait authentication against impersonation attack. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4277 LNCS-I, pp. 479–488). Springer Verlag. https://doi.org/10.1007/11915034_71
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