JOURNAL OF COMPUTERS (JCP)
ISSN : 1796-203X
Volume : 1 Issue : 7 Date : October/November 2006
Biometric Gait Authentication Using Accelerometer Sensor
Davrondzhon Gafurov, Kirsi Helkala, and Torkjel Søndrol
Page(s): 51-59
Full Text: PDF (1,407 KB)
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
ISSN : 1796-203X
Volume : 1 Issue : 7 Date : October/November 2006
Biometric Gait Authentication Using Accelerometer Sensor
Davrondzhon Gafurov, Kirsi Helkala, and Torkjel Søndrol
Page(s): 51-59
Full Text: PDF (1,407 KB)
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
