Method and information technology for constructing a nonparametric dynamic model of the oculomotor system

Authors

  • Александр Алексеевич Фомин Odessa National Polytechnical University Shevchenko av., 1, Odessa, Ukraine, 65044, Ukraine
  • Масри Моханад Odessa National Polytechnical University Shevchenko av., 1, Odessa, Ukraine, 65044, Ukraine
  • Виталий Данилович Павленко Odessa National Polytechnical University Shevchenko av., 1, Odessa, Ukraine, 65044, Ukraine
  • Анна Николаевна Фёдорова Odessa National Polytechnical University Shevchenko av., 1, Odessa, Ukraine, 65044, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2015.41448

Keywords:

oculomotor system, modeling, nonparametric dynamic models, Volterra kernels, multi-dimensional transient characteristics

Abstract

Method, information technology, computational algorithms and software tools for constructing a nonparametric dynamic model of the human oculomotor system were proposed.

A method for constructing the nonparametric dynamic model of the human oculomotor system with regard to its inertia and nonlinear properties based on the data of experimental studies "input-output", as well as efficient computational algorithms and software tools for processing the data of identification experiments were developed.

Nonparametric nonlinear dynamic model of the oculomotor system based on processing the data of experiment "input-output" - pupillary response to a disturbance in the form of a light spot was obtained. Using the algorithms for intelligent processing of the captured video sequence of the pupil position change, the function of the oculomotor system response to a disturbance is simulated. Description of the oculomotor system properties is made using the most versatile nonlinear nonparametric dynamic models in the form of Volterra series. The technology for tracking the pupil behavior using the video recording, which has allowed to determine the dynamic characteristics of the oculomotor system according to the observational data "input-output" have got further development.

The proposed technology for tracking the pupil behavior is available for widespread use in modern applications with an expanded set of personalized features, such as medical and athletic training machines, authorized access to data, testing human-machine systems and so on. An important feature of the technology is indiscriminateness to the hardware that allows its use in the applications of modern mobile devices.

Author Biographies

Александр Алексеевич Фомин, Odessa National Polytechnical University Shevchenko av., 1, Odessa, Ukraine, 65044

PhD, associate Professor

Department of Computerized Control Systems

Масри Моханад, Odessa National Polytechnical University Shevchenko av., 1, Odessa, Ukraine, 65044

Graduate

Department of Computerized Control Systems

Виталий Данилович Павленко, Odessa National Polytechnical University Shevchenko av., 1, Odessa, Ukraine, 65044

DSc, professor

Department of Computerized Control Systems

Анна Николаевна Фёдорова, Odessa National Polytechnical University Shevchenko av., 1, Odessa, Ukraine, 65044

Department of Computerized Control Systems

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Published

2015-04-20

How to Cite

Фомин, А. А., Моханад, М., Павленко, В. Д., & Фёдорова, А. Н. (2015). Method and information technology for constructing a nonparametric dynamic model of the oculomotor system. Eastern-European Journal of Enterprise Technologies, 2(9(74), 64–69. https://doi.org/10.15587/1729-4061.2015.41448

Issue

Section

Information and controlling system