A Random Forest Weights and 4-Dimensional Convolutional Recurrent Neural Network for EEG Based Emotion Recognition

A Random Forest Weights and 4-Dimensional Convolutional Recurrent Neural Network for EEG Based Emotion Recognition

Emotion recognition based on electroencephalography (EEG) signals has garnered substantial attention in recent years and finds extensive applications in the domains of medicine and psychology. However, individual differences in EEG signals pose a challenge to accurate emotion recognition and limit t...

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Dades bibliogràfiques
Autors principals: Wenxu Wang, Jia Yang, Shengjia Li, Bin Wang, Kun Yang, Shengbo Sang, Qiang Zhang, Boyuan Liu
Format: Article
Idioma:English
Publicat: IEEE 2024-01-01
Col·lecció:IEEE Access
Matèries:
Emotion recognition
electroencephalography
individual differences
4DCRNN
Accés en línia:https://ieeexplore.ieee.org/document/10464270/

Internet

https://ieeexplore.ieee.org/document/10464270/

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