Multi-source domain transfer network based on subdomain adaptation and minimum class confusion for EEG emotion recognition
Electroencephalogram (EEG) signals, which objectively reflect the state of the brain, are widely favored in emotion recognition research. However, the presence of cross-session and cross-subject variation in EEG signals has hindered the practical implementation of EEG-based emotion recognition techn...
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Published in | Computer methods in biomechanics and biomedical engineering pp. 1 - 13 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
England
21.10.2024
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Subjects | |
Online Access | Get full text |
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