A temporal-spectral graph convolutional neural network model for EEG emotion recognition within and across subjects

• Published in: Brain informatics Vol. 11; no. 1; pp. 30 - 18
• Main Authors: Li, Rui, Yang, Xuanwen, Lou, Jun, Zhang, Junsong
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2024; Springer; Springer Nature B.V; SpringerOpen
• Subjects: Ablation; Affective computing; Artificial Intelligence; Artificial neural networks; Cognitive Psychology; Computation by Abstract Devices; Computer Science; Cross-subjects; EEG signal; Electroencephalography; Emotion recognition; Emotional factors; Emotions; Graph neural network; Graph neural networks; Health Informatics; Liu, Timothy; Machine learning; Neural networks; Neurosciences; Windows (intervals); China; Affective computing; Cross-subjects; EEG signal; Graph neural network

EEG-based emotion recognition uses high-level information from neural activities to predict emotional responses in subjects. However, this information is sparsely distributed in frequency, time, and spatial domains and varied across subjects. To address these challenges in emotion recognition, we pr...