METHODS OF CLASSIFICATION OF ELECTROENCEPHALOGRAM DATA FOR IDENTIFICATION OF HUMAN EMOTIONAL STATE

Authors

DOI:

https://doi.org/10.30888/2709-2267.2025-31-00-016

Keywords:

electroencephalogram, emotion recognition, cluster analysis, statistical analysis, barycenter signature

Abstract

The developed methods for classifying electroencephalogram (EEG) signals enable the identification of brain responses to emotional stimuli, which serves as the foundation for constructing neurointerface systems. The result of the classification process is

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Published

2025-05-30

How to Cite

Holoborodko, V., & Lyfar, V. (2025). METHODS OF CLASSIFICATION OF ELECTROENCEPHALOGRAM DATA FOR IDENTIFICATION OF HUMAN EMOTIONAL STATE. Sworld-Us Conference Proceedings, 1(usc31-00), 27–30. https://doi.org/10.30888/2709-2267.2025-31-00-016