Title :
A learning man-machine interface for an artificial arm
Author :
Schärer, Christof
Author_Institution :
Inst. of Robotics, Swiss Federal Inst. of Technol., Zurich, Switzerland
Abstract :
The problem of controlling a prosthetic upper limb with several active degrees of freedom is approached by dividing the learning load between the user and a microprocessor-based controller. The user learns to generate clear command signals and an artificial neural net learns to transform these commands into positions or movement of the artificial limb. A five-degree-of-freedom whole-arm prosthesis has been built and is controlled by sensing electric muscle potentials and movements of the shoulder
Keywords :
artificial limbs; computerised control; learning systems; man-machine systems; neural nets; artificial arm; man machine interface learning; microprocessor-based controller; neural net; prosthetic upper limb; whole arm prosthesis; Artificial limbs; Artificial neural networks; Communication system control; Muscles; Neural prosthesis; Prosthetics; Robots; Signal generators; Skin; User interfaces;
Conference_Titel :
Intelligent Robots and Systems '91. 'Intelligence for Mechanical Systems, Proceedings IROS '91. IEEE/RSJ International Workshop on
Conference_Location :
Osaka
Print_ISBN :
0-7803-0067-X
DOI :
10.1109/IROS.1991.174454
