VAE-CapsNet: A common emotion information extractor for cross-subject emotion recognition

• Published in: Knowledge-based systems Vol. 311; p. 113018
• Main Authors: Chen, Huayu, Li, Junxiang, He, Huanhuan, Sun, Shuting, Zhu, Jing, Li, Xiaowei, Hu, Bin
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 28.02.2025
• Subjects: Affective computing; Brain-computer interface(BCI); Cross-dataset; Cross-session; Cross-subject; Electroencephalogram(EEG); Emotion recognition; Subject-dependent; Affective computing; Emotion recognition; Cross-subject; Cross-session; Brain-computer interface(BCI); Subject-dependent; Cross-dataset; Electroencephalogram(EEG)

Owing to the uniqueness of brain structure, function, and emotional experiences, neural activity patterns differ among subjects. As a result, affective brain–computer interfaces (aBCIs) must account for individual differences in neural activity, electroencephalogram data, and particularly emotion pa...