Pattern Recognition Classification for Myoelectric based Control of the Robotic Arm using Neural Network

Abstract

Because of its relevance to society, human-robot interaction has long been a research subject for academics. The creation of a robust human-interactive robot that takes commands from electromyogram (EMG) signals is currently being investigated. This paper explores the movements of a system that enables signals to be recorded directly from a human body and then used to operate a small robotic arm. Pattern classification is done with neural network and used for gestures of the artificialarm.