Hybrid Classification Model for Emotion Prediction from EEG Signals: A Comparative Study

This paper introduces a novel hybrid algorithm for emotion classification based on electroencephalogram (EEG) signals. The proposed hybrid model consists of two layers: the first layer includes three parallel adaptive neuro-fuzzy inference systems (ANFIS), and the second layer called the adaptive ne...

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Bibliographic Details
Main Authors: F. Kebire Bardak, M. Nuri Seyman, Feyzullah Temurtaş
Format: Article
Language:English
Published: Graz University of Technology 2023-12-01
Series:Journal of Universal Computer Science
Subjects:
Online Access:https://lib.jucs.org/article/99542/download/pdf/