Application Volterra Model of the Oculo- Motor System for Personal Identification

Abstract

Knowledge about eye movement is of great theoretical and applied importance. Analysis of the relationship of the oculo-motor system (OMS) with the central nervous system, with the content of mental processes, with various forms of activity (behavior, activity, communication) helps to study the mechanisms of the brain and their disorders, to identify the dynamics of psychophysiological states, patterns of perception, thinking, intentions and attitudes of the individual. A significant drawback of the existing equipment that implements this technology is the fundamental impossibility of measuring the dynamic and nonlinear characteristics of OMS - a promising direction in the development of modeling biological objects - without knowledge of which it is impossible to build an effective control system. To eliminate this shortcoming, the traditional structure of the system for tracking the behavior of the pupil from video recording was further developed in this work, which made it possible to determine the dynamic characteristics of the human visual system from experimental observations of “input-output” (the identification problem).