Generalized Contrastive Partial Label Learning for Cross-Subject EEG-Based Emotion Recognition

• Published in: IEEE transactions on instrumentation and measurement Vol. 73; pp. 1 - 11
• Main Authors: Li, Wei, Fan, Lingmin, Shao, Shitong, Song, Aiguo
• Format: Journal Article
• Language: English
• Published: New York IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Affective computing; Brain modeling; Contrastive learning; Data models; Distillation; domain generalization; electroencephalogram (EEG); Electroencephalography; Emotion recognition; Emotions; Feature extraction; Labels; Machine learning; partial label learning (PLL); Phase locked loops; Self assessment; self-distillation; Training

Electroencephalogram (EEG)-based emotion recognition has become a hot topic in affective computing. However, due to the challenges of intersubject variability and label ambiguity of EEG data, existing research often suffers from poor performance. This limitation significantly hampers the practical a...