Oetomo, Denny, Zhou, Shou-Han, Tan, Ying, Burdet, Etienne, and Mareels, Iven (2012) Modeling individual human motor behavior through model reference iterative learning control. IEEE Transactions on Biomedical Engineering, 59. pp. 1892-1901.

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Abstract

A computational model is proposed in this paper to capture learning capacity of a human subject adapting his or her movements in novel dynamics. The model uses an iterative learning control algorithm to represent human learning through repetitive processes. The control law performs adaptation using a model designed using experimental data captured from the natural behavior of the individual of interest. The control signals are used by a model of the body to produced motion without the need of inverse kinematics. The resulting motion behavior is validated against experimental data. This new technique yields the capability of subject-specific modeling of the motor function, with the potential to explain individual behavior in physical rehabilitation.

Item ID:	68410
Item Type:	Article (Research - C1)
ISSN:	1558-2531
Copyright Information:	© 2012 IEEE
Date Deposited:	27 Jun 2024 00:49
FoR Codes:	40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400705 Control engineering @ 60% 52 PSYCHOLOGY > 5204 Cognitive and computational psychology > 520403 Learning, motivation and emotion @ 40%
SEO Codes:	28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280110 Expanding knowledge in engineering @ 80% 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280121 Expanding knowledge in psychology @ 20%
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