EmT: A Novel Transformer for Generalized Cross-Subject EEG Emotion Recognition

• Published in: IEEE transaction on neural networks and learning systems Vol. 36; no. 6; pp. 10381 - 10393
• Main Authors: Ding, Yi, Tong, Chengxuan, Zhang, Shuailei, Jiang, Muyun, Li, Yong, Lim, Kevin JunLiang, Guan, Cuntai
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.06.2025
• Subjects: Algorithms; Brain modeling; Cognitive processes; Data mining; Databases, Factual; Deep learning; Electroencephalography; electroencephalography (EEG); Electroencephalography - methods; Emotion recognition; Emotions - classification; Emotions - physiology; Feature extraction; Graph neural networks; Humans; Learning systems; Mixers; Neural Networks, Computer; transformer; Transformers

Integrating prior knowledge of neurophysiology into neural network architecture enhances the performance of emotion decoding. While numerous techniques emphasize learning spatial and short-term temporal patterns, there has been a limited emphasis on capturing the vital long-term contextual informati...