Robustness of biometric gait authentication against impersonation attack

Authors:
Davrondzhon Gafurov;Einar Snekkenes;Tor Erik Buvarp
Affiliations:
Norwegian Information Security Lab, Department of Computer Science and Media Technology, Gjovik University College, Gjovik, Norway;Norwegian Information Security Lab, Department of Computer Science and Media Technology, Gjovik University College, Gjovik, Norway;Norwegian Information Security Lab, Department of Computer Science and Media Technology, Gjovik University College, Gjovik, Norway
Venue:
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part I
Year:
2006

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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.