Biometric Gait Authentication Using Accelerometer Sensor

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.

• Type: Journal
• Year: 2006
• Where: JCP
• Authors: Davrondzhon Gafurov, Kirsi Helkala, Torkjel Søndrol
• Keywords: Biometric User Authentication, Gait, JCP 2006, Lower Leg