Gait-based Authentication using Trouser Front-Pocket Sensors
نویسندگان
چکیده
Recently, to reduce the inconvenience caused by authentication operations in portable terminals, various authentication methods based on behavior characteristics have been studied. Gait-based authentication is one of them. This authentication method identifies individuals based on walking motions measured by wearable sensors such as acceleration sensors. This study aims to improve the authentication accuracy using trouser front pocket sensors. In this study, we consider two analyses to achieve this goal. First, we investigate the relation between walking motion and gait signals from trouser pocket sensors to extract signals of same-gait motion intervals in different subjects. Next, we verify an authentication method that uses both an acceleration sensor and a gyro sensor to improve the authentication accuracy.
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