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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Graz University of Technology
2023-12-01
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Series: | Journal of Universal Computer Science |
Subjects: | |
Online Access: | https://lib.jucs.org/article/99542/download/pdf/ |