Emotion Recognition from EEG Signals Using Advanced Transformations and Deep Learning

Emotion Recognition from EEG Signals Using Advanced Transformations and Deep Learning

Affective computing aims to develop systems capable of effectively interacting with people through emotion recognition. Neuroscience and psychology have established models that classify universal human emotions, providing a foundational framework for developing emotion recognition systems. Brain act...

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Bibliographic Details
Main Authors: Jonathan Axel Cruz-Vazquez, Jesús Yaljá Montiel-Pérez, Rodolfo Romero-Herrera, Elsa Rubio-Espino
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Mathematics
Subjects:
EEG signals
emotion recognition
deep learning
signal processing
Online Access:https://www.mdpi.com/2227-7390/13/2/254
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