| Issue |
EPJ Web Conf.
Volume 248, 2021
V International Conference “Modeling of Nonlinear Processes and Systems“ (MNPS-2020)
|
|
|---|---|---|
| Article Number | 01009 | |
| Number of page(s) | 6 | |
| Section | Mathematical Models in Natural Sciences | |
| DOI | https://doi.org/10.1051/epjconf/202124801009 | |
| Published online | 26 April 2021 | |
https://doi.org/10.1051/epjconf/202124801009
Identification of the Oculo-Motor System in the Form Volterra Model Based on Eye-Tracking Data
Computerized Control Systems Department, Odessa National Polytechnic University, UK-65044, Odessa, Ukraine
* e-mail: pavlenko_vitalij@mail.ru
Published online: 26 April 2021
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.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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