Multi-Scale Hyperbolic Contrastive Learning for Cross-Subject EEG Emotion Recognition

• Published in: IEEE transactions on affective computing pp. 1 - 16
• Main Authors: Chang, Jiang, Zhang, Zhixin, Qian, Yuhua, Lin, Pan
• Format: Journal Article
• Language: English
• Published: IEEE 2025
• Subjects: Accuracy; Affective computing; Brain modeling; Computational modeling; Contrastive learning; cross-subject; Data models; EEG; Electroencephalography; Emotion recognition; Feature extraction; hyperbolic embedding; Vectors

Electroencephalography (EEG) serves as a reliable and objective signal for affective computing applications. However, individual differences in EEG signals pose a significant challenge for emotion recognition tasks across subjects. To address this, we proposed a novel method called Multi-Scale Hyper...