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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Bibliographic Details
Main Authors: Wenxu Wang, Jia Yang, Shengjia Li, Bin Wang, Kun Yang, Shengbo Sang, Qiang Zhang, Boyuan Liu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Emotion recognition
electroencephalography
individual differences
4DCRNN
Online Access:https://ieeexplore.ieee.org/document/10464270/

Internet

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

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