Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : June 02, 2018 - June 05, 2018
In this research, we focus on the relationship between electroencephalography (EEG) signals and torques generated by elbow or/and shoulder joint when performing flexion and extension, and aim to succeeded in the power augmentation by estimating torque using EEG signals for the multi-DOFs wearable upper-limb exoskeleton robot developed in our laboratory. In this paper, we propose a method to distinguish motion intention of elbow or/and shoulder joint performing extension and flexion by using EEG signals when wearing the upper-limb exoskeleton robot. The proposed approach is verified by experiments, and the results suggest that motion intention distinguishment of elbow or/and shoulder joint performing extension and flexion based on EEG signals is feasible, and demonstrate the potential of using EEG signals via brain-machine interface to support human activities.
