PRINCIPLES OF DEVELOPING A SYSTEM FOR DETERMINING EYE MOVEMENT ACTIVITY BASED ON DATA FROM A PORTABLE ELECTROENCEPHALOGRAPH

V.R. Romaniuk

About the authors

V.R. Romaniuk

Романюк Владимир Русланович – аспирант, младший научный сотрудник лаборатории интегрированных систем автоматизации СПИИРАН, 14 линия, 39, Санкт-Петербург, 199178, Россия, +79992447268, Область научных интересов: машинное обучение, определение состояния человека, нейроинтерфейсы.

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UDC: 004.8
DOI: 10.24412/2413-7383-123-133
Language: Russian

Abstract: Eye movements play an important role in human cognitive processes, making them a subject of interest across a wide range of scientific and applied fields. Traditional eye-tracking methods offer high accuracy but have limitations related to the use of cameras or their equivalents. This paper proposes principles for developing a system to detect eye movement activity based on data from, portable electro - encephalograph (EEG), which allows overcome these limitations. The system design is based on machine learning methods such as Long Short-Term Memory (LSTM) networks and Convolutional Neural Networks (CNN). Key aspects of development include signal preprocessing, filtering, data normalization, and feature extraction. The proposed principles lay the foundation for developing eye movement detection systems applicable in natural environments.

Keywords: EEG, eye movement activity, machine learning

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Issue: 1(36)'2025
Section: МЕТОДЫ И СИСТЕМЫ ЗАЩИТЫ ИНФОРМАЦИИ, ИНФОРМАЦИОННАЯ БЕЗОПАСНОСТЬ
How to cite: V.R. Romaniuk. PRINCIPLES OF DEVELOPING A SYSTEM FOR DETERMINING EYE MOVEMENT ACTIVITY BASED ON DATA FROM A PORTABLE ELECTROENCEPHALOGRAPH // Problems of Artificial Intelligence. - 2025. - № 1 (36). - P. 123-133. - https://paijournal.guiaidn.ru/en/2025/1(36)-10.html

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