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A dual-branch deep learning framework for emotion recognition from EEG signals

Abstract Mental health monitoring through emotion recognition plays an important role in early intervention and personalized healthcare systems. Traditional EEG-based emotion recognition approaches have encountered significant limitations, including heavy reliance on manual feature engineering, poor...

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Autores principales: Debam Saha, Asfak Ali, Vycheslav Gulvanskii, Dmitrii Kaplun, Ram Sarkar
Formato: Artigo
Lenguaje:Inglês
Publicado: Nature Portfolio 2026-03-01
Colección:Scientific Reports
Materias:
Emotion recognition
EEG signals
ANN
CNN
LSTM
MFCC
Acceso en línea:https://doi.org/10.1038/s41598-026-42998-8
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