Open AccessNonlinear Dynamics Identification of the Oculo-Motor System based on Eye Tracking Data
Author(s) -
Vitaliy Pavlenko,
Tetiana Shamanina,
Vladislav Chori
Publication year - 2021
Publication title -
international journal of circuits, systems and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.156
H-Index - 13
ISSN - 1998-4464
DOI - 10.46300/9106.2021.15.63
Subject(s) - matlab , nonlinear system , computer science , identification (biology) , software , transient (computer programming) , system identification , eye tracking , tracking (education) , inertial measurement unit , computer vision , test data , experimental data , data processing , artificial intelligence , control engineering , simulation , data modeling , engineering , mathematics , psychology , pedagogy , botany , physics , quantum mechanics , database , biology , programming language , operating system , statistics
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.