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ANALYSIS OF HUMAN ATTENTION BASED ON EEG DATA USING MACHINE LEARNING

Uvarov Kirill Andreevich  (Postgraduate student of Department of Information Systems Saint Petersburg Electrotechnical University "LETI" )

The article provides an overview of modern methods for analyzing human attention based on electroencephalography data using machine learning algorithms. The key methods of EEG data processing and feature extrac tion are considered. The main methods and algorithms of machine learning that are used to analyze human attention based on EEG data are also considered.

Keywords:The authors declare no conflicts of interest.

 

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Citation link:
Uvarov K. A. ANALYSIS OF HUMAN ATTENTION BASED ON EEG DATA USING MACHINE LEARNING // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2025. -№06/2. -С. 214-220 DOI 10.37882/2223-2966.2025.06-2.40
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