상·하향 계단보행에 사용되는 근육에 적합한 특징 조합을 적용한 근전도 신호 기반 보행단계 인식

초록

For stairs ascending and stairs descending, it is important to select proper features adaptive to muscles used in gait. In this paper, we propose an EMG(electromyoelectric) signal based classification using feature set a adaptive to muscles used in stairs ascending and stairs descending. RMS, VAR, MAV, SSC, ZC, WAMP features are extracted from EMG signal and LDA(Linear Discriminant Analysis) classifier is used. The experimental results show that the average accuracies of the features set are