System for the Identification of Multiple Movements of the Hand

Author

León, M. ; Leija, L. ; Munoz, R.

Author_Institution

Dept. of Electr. Eng., CINVESTAV-IPN, Mexico City

fYear

2006

fDate

6-8 Sept. 2006

Firstpage

1

Lastpage

3

Abstract

The principal objective of this work is to develop a system of myoelectric control for the teleoperation of a complex robotic arm. It is presented a scheme for the identification of 7 movements of the hand, taking into account 3 anatomical positions of the subject and using only 2 electromyography (EMG) channels. When presenting an input to the system, this one generates an answer codified in binary of the movement the operator is making. The obtained results demonstrate that it is feasible the identification of multiple movements of the hand by using of the bioelectric signal produced by muscles of the forearm and the use of artificial neural networks (ANN) like as the classification element

Keywords

biomechanics; electromyography; medical robotics; neural nets; prosthetics; telerobotics; ANN; EMG channels; artificial neural networks; bioelectric signal; electromyography; hand; multiple movements identification; myoelectric control; robotic arm; teleoperation; Actuators; Artificial neural networks; Control systems; Elbow; Electrodes; Electromyography; Muscles; Signal processing; Steady-state; Wrist; ANN; EMG; Myoelectric Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Electronics Engineering, 2006 3rd International Conference on

Conference_Location

Veracruz

Print_ISBN

1-4244-0402-9

Electronic_ISBN

1-4244-0403-7

Type

conf

DOI

10.1109/ICEEE.2006.251898

Filename

4017983