EEG emotion recognition based on differential entropy feature matrix through 2D-CNN-LSTM network

EEG emotion recognition based on differential entropy feature matrix through 2D-CNN-LSTM network

Abstract Emotion recognition research has attracted great interest in various research fields, and electroencephalography (EEG) is considered a promising tool for extracting emotion-related information. However, traditional EEG-based emotion recognition methods ignore the spatial correlation between...

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Bibliographic Details
Main Authors: Teng Wang, Xiaoqiao Huang, Zenan Xiao, Wude Cai, Yonghang Tai
Format: Article
Language:English
Published: SpringerOpen 2024-04-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
EEG signal
Differential entropy feature matrix
Deep learning
Emotion recognition
Online Access:https://doi.org/10.1186/s13634-024-01146-y

Internet

https://doi.org/10.1186/s13634-024-01146-y

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