METHODS OF INTELLIGENT ELECTROENCEPHALOGRAM DATA ANALYSIS FOR CLASSIFYING HUMAN EMOTIONAL STATES

Authors

DOI:

https://doi.org/10.30890/2709-1783.2025-42-00-011

Keywords:

artificial intelligence, data analysis, knowledge bases, clustering, EEG

Abstract

The paper presents a method for classifying human psycho-emotional states (positive and negative) based on the intelligent analysis of electroencephalogram (EEG) data. The proposed approach is an extension of the k-nearest neighbors method and is based on

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Published

2025-10-30

How to Cite

Holoborodko, V., & Lyfar, V. (2025). METHODS OF INTELLIGENT ELECTROENCEPHALOGRAM DATA ANALYSIS FOR CLASSIFYING HUMAN EMOTIONAL STATES. SWorld-Ger Conference Proceedings, 1(gec42-00), 27–33. https://doi.org/10.30890/2709-1783.2025-42-00-011

Issue

No. gec42-00 (2025): World scientific and technical trends '2025

Section

Abstracts

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This work is licensed under a Creative Commons Attribution 4.0 International License.