Identification Techniques for Mathematical Modeling of the Human Smooth Pursuit System

Abstract

The dynamical properties of the human smooth pursuit system (SPS) are studied. Linear black-box and nonlinear Wiener models of the SPS are identified from eye-tracking data in view of their potential applications in diagnosing and staging various clinical conditions. A novel approach to visual stimulus design is suggested and evaluated. Accurate estimation… (More)

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Cite this paper

@inproceedings{Jansson2015IdentificationTF, title={Identification Techniques for Mathematical Modeling of the Human Smooth Pursuit System}, author={Daniel Jansson and Alexander Medvedev}, year={2015} }