Human-Machine Interface for Mechatronic Devices Control
Authors: Bobtsov A., Borgul A.
Publisher: 7th IFAC Conference on Manufacturing Modelling, Management and Control
Published: Elsevier B.V
This article presents a system of intuitive control of any mechatronic devices with EMG and EEG. It can be used both as in rehabilitation devices and in manufacturing as a human-machine interface. The technology allows to control device mentally. Various identification methods for control signals like neural networks, wavelet analysis, fastICA, Fourier series are given. Algorithms were tested on real objects and simulator.