Multi-Domain Representation Learning For Enhanced EEG-Based Emotion Recognition
In recent years, significant progress has been made in EEG-based emotion classification using convolutional neural networks; however, effectively leveraging multi-domain EEG features to improve emotion recognition accuracy remains challenging. To address this, we propose a dual-branch feature fusion architecture that i...