DocumentCode :
2197641
Title :
A model for learning human reaching-movements
Author :
Karniel, Amir ; Inbar, Gideon F.
Author_Institution :
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
Volume :
2
fYear :
1996
fDate :
31 Oct-3 Nov 1996
Firstpage :
619
Abstract :
Reaching-movement is a fast ballistic voluntary movement towards a given target. The main characteristics of such a movement are straight line and a bell shape speed profile. In this work a mathematical model for the control of the human arm during reaching-movement is presented. In analyzing the model performance in mimicking a Two Degrees Of Freedom (2DOF) human movements, the following results were observed: (I) A nonlinear muscle model yields smooth movements with zero terminal velocity in response to simple control signals. This conclusion agrees with the general idea that the motor control is a combination of muscle dynamics with nervous control. (II) A typical reaching-movement can be performed with a typical rectangular excitation to the muscles, and in this way the dimension of the control problem is reduced
Keywords :
biocontrol; biomechanics; muscle; neurophysiology; physiological models; bell shape speed profile; control problem dimension reduction; fast ballistic voluntary movement; given target; human arm control; human reaching-movements learning model; mathematical model; motor control; muscle dynamics; nervous control; nonlinear muscle model; simple control signals; smooth movements; straight line movement; typical rectangular excitation; zero terminal velocity; Artificial neural networks; Biological system modeling; Error correction; Humans; Manipulator dynamics; Mathematical model; Muscles; Pulse generation; Shape; Signal analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
Type :
conf
DOI :
10.1109/IEMBS.1996.651893
Filename :
651893
Link To Document :
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