EYE-TRACKING TECHNOLOGY IN THE STUDY OF COGNITIVE PROCESSES

Authors

DOI:

https://doi.org/10.30888/2709-2267.2022-13-01-013

Keywords:

oculo-motor system, identification, Volterra model, multidimensional transition functions, test visual stimuli, eye-tracking technology

Abstract

Instrumental algorithmic and software tools for building a non-parametric dynamic model of the oculo-motor system (OMS) of a person, taking into account its inertial and nonlinear properties, based on the data of "input-output" experimental studies using

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References

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Published

2022-10-30

How to Cite

Pavlenko, V., & Shamanina, T. (2022). EYE-TRACKING TECHNOLOGY IN THE STUDY OF COGNITIVE PROCESSES. Sworld-Us Conference Proceedings, 1(usc13-01), 57–65. https://doi.org/10.30888/2709-2267.2022-13-01-013