Abstract
The present invention relates to a method to recognize the gait phase based on an electromyography (EMG) signal for walking upward or downward on stairs, which comprises: (a) a step of receiving an input of a signal for training of an EMG signal of a plurality of muscles, which is measured when a user is walking upward or downward on stairs, and physical data of the sole pressure and the knee angle, which are measured when the user is walking; (b) a step of determining the gait phase by using the physical data; (c) a step of extracting characteristics from the EMG signal; (d) a step of generating a classifier which sets the extracted characteristics as an input and the determined gait phase as an output; and (e) a step of using the generated classifier to recognize the gait phase of the users walking upward or downward. Accordingly, the present invention can use only an EMG signal to classify walking upward or downward on stairs and to more precisely classify the gait phases on stairs.
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