Emotion Recognition Method Using U-Net Neural Network With Multichannel EEG Features and Differential Entropy Characteristics

Emotion Recognition Method Using U-Net Neural Network With Multichannel EEG Features and Differential Entropy Characteristics

To improve accuracy in EEG-based emotion recognition and address current research limitations, providing a more robust framework for scientific study and mental health support. This paper presents an emotion recognition method tailored for small sample training data, effectively addressing the issue...

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Bibliographic Details
Main Authors: Haitao Huang, Ying Deng, Bowen Hao, Wenguang Liu, Xiaoyu Tu, Guojun Zeng
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Neurofeedback
emotion recognition
EEG U-Net
electroencephalogram
differential entropy features
Online Access:https://ieeexplore.ieee.org/document/10752561/
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