Cross-Subject Emotion Recognition Using Deep Adaptation Networks
Affective models based on EEG signals have been proposed in recent years. However, most of these models require subject-specific training and generalize worse when they are applied to new subjects. This is mainly caused by the individual differences across subjects. While, on the other hand, it is t...
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Published in | Neural Information Processing Vol. 11305; pp. 403 - 413 |
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Main Authors | , , , |
Format | Book Chapter |
Language | English |
Published |
Switzerland
Springer International Publishing AG
2018
Springer International Publishing |
Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
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