C1-3 Identification of Walking Motion Based on sEMG Using a Neural Network

Abstract

In order to synchronize the movement of omni-directional walking training robot to the walking motion of users, the walking training robot 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 used in walking motion was measured, and a hierarchical neural network was proposed to identify the walking motion of users. The usefulness of the identification method was verified by experiment.