Nonlinear Dynamics Identification of the Oculo-Motor System based on Eye Tracking Data-Reference-Cited by-同舟云学术

Nonlinear Dynamics Identification of the Oculo-Motor System based on Eye Tracking Data

Published:2021-07-05 Issue: Volume:15 Page:569-577
ISSN:1998-4464
Container-title:International Journal of Circuits, Systems and Signal Processing
language:en
Short-container-title:

Author:

Pavlenko Vitaliy¹,Shamanina Tetiana¹,Chori Vladislav¹

Affiliation:

1. Odessa National Polytechnic University Shevchenko av. 1, Odessa, 65044 Ukraine

Abstract

Instrumental computing and software tools have been developed for constructing a nonlinear dynamic model of the human oculo-motor system (OMS) based on the data of input–output experiments using test visual stimuli and innovative technology eye tracking. For identification the Volterra model is used in the form of multidimensional transient functions of the 1st, 2nd and 3rd orders, taking into account the inertial and nonlinear properties of the OMS. Software tools for processing eye tracking data developed in the Matlab environment are tested on real data from an experimental study of OMS.

Publisher

North Atlantic University Union (NAUN)

Subject

Electrical and Electronic Engineering,Signal Processing

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1. Nonlinear Dynamic Model of the Oculo-Motor System Human Based on the Volterra Series;Springer Proceedings in Mathematics & Statistics;2024

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