Visuomotor optimality and its utility in parametrization of response.

Full Abstract

We present a method of characterizing visuomotor response by inferring subject-specific physiologically meaningful parameters within the framework of optimal control theory. The characterization of visuomotor response is of interest in the assessment of impairment and rehabilitation, the analysis of man-machine systems, and sensorimotor research. We model the visuomotor response as a linear quadratic Gaussian (LQG) controller, a Bayesian optimal state estimator in series with a linear quadratic regulator. Subjects used a modified computer mouse to attempt to keep a displayed cursor at a fixed desired location despite a Gaussian random disturbance and simple cursor dynamics. Nearly all subjects' behavior was consistent with the hypothesized optimality. Experimental data were used to fit an LQG model whose assumptions are simple and consistent with other sensorimotor work. The parametrization is parsimonious and yields quantities of clear physiological meaning:
noise intensity, level of exertion, delay, and noise bandwidth. Significant variations in response were observed, consistent with signal-dependent noise and changes in exerted effort. This is a novel example of the role of optimal control theory in explaining variance in human visuomotor response. We also present technical improvements on the use of LQG in human operator modeling.

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Author information

Author/s: Sherback, Michael (M); D'Andrea, Raffaello (R);

Affiliation: Cornell University, Ithaca, NY 14853, USA. mas61(-atsign-)cornell.edu

Journal and publication information

Publication Type: Journal Article

Journal: IEEE transactions on bio-medical engineering (IEEE Trans Biomed Eng), published in United States. (Language: eng)

Reference: 2008-Jul; vol 55 (issue 7) : pp 1783-91

Dates: Created 2008/07/03; Completed 2008/08/29;

PMID: 18595796, status: MEDLINE (last retrieval date: 11/6/2008)

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Brain - physiology
Computer Simulation
Feedback - physiology
Humans
Models, Neurological

Models, Neurological
Motor Skills - physiology
Movement - physiology
Pattern Recognition, Visual - physiology
Task Performance and Analysis

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