Identification of walking motion based on sEMG using a neural network

Abstract

In order to synchronize the movement of omni-directional walking training robot with the walking motion of users, the walking training need to recognize the walking motion of user and move following the user's waking motion. The use's walking motion could be analyzed and identified based on the surface electromyogram(sEMG). In this report, the sEMG of muscles which were utilized in walking motion was measured. A hierarchical neural network was used to identify the walking motion. The usefulness of the identification result was discussed by experiment.