Modeling individual human motor behavior through model reference iterative learning control

Zhou, Shou-Han, Oetomo, Denny, 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 (7) , pp. 1892-1901. 10.1109/tbme.2012.2192437

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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 Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	Institute of Electrical and Electronics Engineers
ISSN:	0018-9294
Last Modified:	29 Nov 2024 14:30
URI:	https://orca.cardiff.ac.uk/id/eprint/173837

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