Title :
A strategy of motor learning using adjustable parameters for arm movement
Author :
Katayama, Masazumi ; Inoue, Satoshi ; Kawato, Mitsuo
Author_Institution :
Dept. of Inf. & Comput. Sci., Toyohashi Univ. of Technol., Japan
fDate :
28 Oct-1 Nov 1998
Abstract :
This paper presents a strategy of motor learning that acquires an internal model of the arm by using adjustable parameters for arm movement. This strategy gradually adjusts the parameters, such as the speed of an arm movement and the viscoelastic property values of the arm in the learning process. Learning control based on such a strategy eliminates a few weak points in many types of learning control models which have been proposed in the last decade. We will ascertain the efficiency of the proposed strategy by computer simulation using a mathematical model of the human arm
Keywords :
backpropagation; biocontrol; biomechanics; feedback; feedforward; mechanoception; motion control; muscle; neurophysiology; physiological models; viscoelasticity; PID controller; adjustable parameters; arm movement; computer simulation; feedback information; feedforward command; internal model; learning control; mathematical model; motor learning strategy; stretch reflex; viscoelastic property values; Computer simulation; Elasticity; Feedback control; Laboratories; Mathematical model; Mechanical factors; Muscles; Neurofeedback; Process control; Viscosity;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.744780