EMG 신호를 이용한 보행 주기 기반 사용자 인식

초록

In this paper, we propose a gait cycle based human identification using EMG signal. Gait recognizes people by the way they walk and run. The proposed method identifies human by analyzing sequence of EMG signal during gait cycle. Experimental results show that the average recognition ratio of the proposed method is 84.17% when four body location of thigh is used to measure EMG signal.