Inquest of Method for Estimating EMG to Controll a Exoskeleton Robot by EEG when Flexing/Extending at Elbow

Abstract

Recently, studies of power assistive device controlled by noninvasive Brain-Machine Interface (BMI) have been developed. However, The discrimination accuracy for the control of power assist device by Electroencephalograph(EEG) signals is still lower than electromyograph(EMG) signals. In this study, we try to design an experiment to investigate EEG variations, and analyze the EEG signals in movement to extract the relationship between EEG and EMG signals when conrolling an exoskeleton robot's elbow joint.