¹Norwegian Information Security Lab - NISlab Department of Computer Science and Media Technology Gjøvik University College P.O. Box 191, 2802 Gjøvik, NORWAY

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Abstract—This paper presents a biometric user authentication based on a person’s gait. Unlike most previous gait recognition approaches, which are based on machine vision techniques, in our approach gait patterns are extracted from a physical device attached to the lower leg. From the output of the device accelerations in three directions: vertical, forward-backward, and sideways motion of the lower leg are obtained. A combination of these accelerations is used for authentication. Applying two different methods, histogram similarity and cycle length, equal error rates (EER) of 5% and 9% were achieved, respectively.

Index Terms—security, biometric, gait recognition, sensorbased gait, unobtrusive authentication, leg acceleration

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Cite: Davrondzhon Gafurov, Kirsi Helkala, Torkjel Søndrol, "Biometric Gait Authentication Using Accelerometer Sensor," Journal of Computers vol. 1, no.7, pp. 51-59, 2006.