EYE-TRACKING TECHNOLOGY IN THE STUDY OF COGNITIVE PROCESSES
Keywords:oculo-motor system, identification, Volterra model, multidimensional transition functions, test visual stimuli, eye-tracking technology
AbstractInstrumental 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
Jansson D., Medvedev A. Volterra modeling of the Smooth Pursuit System with application to motor symptoms characterization in Parkinson's disease // European Control Conference (ECC). – France, Strasbourg. – 2014. – P. 1856-1861.
Bro V., Medvedev A. Nonlinear dynamics of the human smooth pursuit system in health and disease: model structure and parameter estimation // IEEE 56th Annual Conference on Decision and Control – Australia, Melbourne. – 2017. – P. 4692-4697.
Pavlenko V., Salata D., Dombrovskyi M., Maksymenko Yu. Estimation of the Multidimensional Transient Functions Oculo-Motor System of Human // Mathematical Methods and Computational Techniques in Science and Engineering: AIP Conf. Proc. MMCTSE’2017, Cambridge, UK. – 2017. – Vol. 1872. – Melville, New York. Published by AIP Publishing. – P.110-117.
Pavlenko V. D., Salata D. V., Chaikovskyi H. P. Identification of a Oculo-Motor System Human Based on Volterra Kernels // International Journal of Biology and Biomedical Engineering. – 2017. – Vol. 11. – P. 121-126.
Pavlenko V., Pavlenko S. Deterministic identification methods for nonlinear dynamical systems based on the Volterra model // Applied Aspects оf Information Technology. – 2018. – Vol. 01. – No. 01. – P. 9-29.
Pavlenko V., Milosz M., Dzienkowski M. Identification of the oculo-motor system based on the Volterra model using eye tracking technology // 4th Int. Conf. on Applied Physics, Simulation and Computing (APSAC 2020). – Italy, Rome.– 2020. // Journal of Physics: Conference Series. – 2020. – 1601. – IOP Publishing. – P. 1-8.
Pavlenko V.D., Shamanina T.V., Chori V.V. Nonlinear Dynamics Identification of the Oculo-Motor System based on Eye Tracking Data // International Journal of Circuits, Systems and Signal Processing – 2021. – Vol.15. – P. 569-577. DOI: 10.46300/9106.2021.15.63 (E-ISSN: 1998-4464).
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