Estimation of the Multidimensional Transient Functions Oculo-Motor System of Human

Abstract

Abstract. Proposed a new method of constructing nonparametric dynamic models of the oculomotor system system (OMS) in the form of human multidimensional transition functions on the basis of experimental data "input-output". As the test signals used bright points on the long duration of the computer screen. OMS response is measured using information technology Eye-tracking and recorded on video. As a result data processing of the experiment we receive function based "pupil coordinate – time”. Using the method of least squares (Ordinary Least Squares, OLS) defined transition functions of the first, second and third order - integral transformations of Volterra kernels, representing a model of OMS. Completed experimental studies using computer simulations confirm the adequacy of the constructed approximation model as a real system.