Identification of the Oculo-Motor System in the Form Volterra Model Based on Eye-Tracking Data

Identification of the Oculo-Motor System in the Form Volterra Model Based on Eye-Tracking Data

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 stimulus and innovative technology. Volterra model in the form of multidimensional transition...

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Bibliographic Details
Published in:EPJ Web of Conferences Vol. 248; p. 1009
Main Authors: Pavlenko, Vitaliy D., Shamanina, Tetiana V., Chori, Vladislav V.
Format: Journal Article Conference Proceeding
Language:English
Published: Les Ulis EDP Sciences 2021
Subjects:
Dynamic models
Dynamical systems
Eye movements
Nonlinear dynamics
Software
Software development tools
Tracking
Visual stimuli
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Description
Summary: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 stimulus and innovative technology. Volterra model in the form of multidimensional transition functions of the 1st, 2nd and 3rd orders, taking into account the inertial and nonlinear properties of the OMS was used as the identification tool. Eye-tracking data developed in the Matlab environment are tested on real datasets from an experimental study of OMS.
ISSN:2100-014X
2101-6275
2100-014X
DOI:10.1051/epjconf/202124801009