[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.7471/ikeee.2020.24.1.269

A Study on the Walking Recognition Method of Assistance Robot Legs Using EEG and EMG Signals

Shin, Dae Seob (Dept. of Electronic Information Communication Division, Shin Ansan University)

Publication Information

Journal of IKEEE / v.24, no.1, 2020 , pp. 269-274 More about this Journal

Abstract

This paper is to study the exoskeleton robot for the walking of the elderly and the disabled. We developed and tested an Exoskeletal robot with two axes of freedom for joint motion. The EEG and EMG signals were used to move the joints of the Exoskeletal robot. By analyzing the EMG signal, the control signal was extracted and applied to the robot to facilitate the walking operation of the walking assistance robot. In addition, the brain-computer interface technology is applied to perform the operation of the robot using brain waves, spontaneous electrical activities recorded on the human scalp. These two signals were fused to study the walking recognition method of the supporting robot leg.

Keywords

EEG; EMG; Exoskeletal; Walking Recognition; Walking Assistance Robot;

Citations & Related Records

Reference

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