Line tracking control of a mobile robot using EMG signals from human hand gestures

Abstract

This video shows the line tracking control performance of a mobile robot commanded remotely through human hand gesture recognition using the biological signals. The biological signals are obtained by electromyography (EMG) sensors attached on the skin of a human arm. EMG signals of two channels are captured from the skin of a human arm according to four different human gesture motions. The EMG signals are filtered and classified into four commands of move forward, move back, turn right and turn left to control the mobile robot.