Advancements in EEG Emotion Recognition: Leveraging Multi-Modal Database Integration

Advancements in EEG Emotion Recognition: Leveraging Multi-Modal Database Integration

This paper addresses the limitations of relying solely on facial expressions for emotion recognition by proposing an advanced approach that emphasizes continuous monitoring of electroencephalography (EEG) signals. Recognizing the potential for deception in facial expressions, our study leverages the...

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Bibliographic Details
Main Authors: Ahmed Roshdy, Abdullah Karar, Samer Al Kork, Taha Beyrouthy, Amine Nait-ali
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Applied Sciences
Subjects:
emotions EEG database
EEG Signals
EEG feature extraction
multi-modal system
deep learning
emotion digitization
Online Access:https://www.mdpi.com/2076-3417/14/6/2487

Internet

https://www.mdpi.com/2076-3417/14/6/2487

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