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

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...

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Bibliographic Details
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)
ISSN:	0950-7051
Online Access:	Get full text
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