An Effective Deep Neural Network Architecture for EEG-Based Recognition of Emotions

An Effective Deep Neural Network Architecture for EEG-Based Recognition of Emotions

Emotions are caused by a human brain reaction to objective events. The purpose of this study is to investigate emotion identification by machine learning using electroencephalography (EEG) data. Current research in EEG-based emotion recognition faces significant challenges due to the high-dimensiona...

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Bibliographic Details
Main Authors: Khadidja Henni, Neila Mezghani, Amar Mitiche, Lina Abou-Abbas, Amel Benazza-Ben Yahia
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
EEG signal
emotion recognition
auto-encoder
LSTM
CNN
Online Access:https://ieeexplore.ieee.org/document/10824765/
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