Intuitive control for robotic rehabilitation devices by human-machine interface with EMG and EEG signals

Abstract

This article presents a system of intuitive control the upper extremity exoskeleton and other mechatronic devices with EMG and EEG for people with different degrees of musculoskeletal system damage. The technology let control an apparatus by thinking about it. Various identification methods for control signals like neural networks, wavelet analysis, fastICA, Fourier series are given below. Algorithms were tested on real objects and simulator.