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Biometric Gait Authentication Using Accelerometer Sensor

Author(s): Davrondzhon Gafurov | Kirsi Helkala | Torkjel Søndrol

Journal: Journal of Computers
ISSN 1796-203X

Volume: 1;
Issue: 7;
Start page: 51;
Date: 2006;
Original page

Keywords: security | biometric | gait recognition | sensor-based gait | unobtrusive authentication | leg acceleration

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.
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