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Bi-Hemispheric Adversarial Domain Adaptation Neural Network for EEG-Based Emotion Recognition

<b>Background/Objectives:</b> Adversarial domain adaptation methods are widely used in EEG-based emotion recognition to reduce the influence of individual differences and the non-stationary characteristics of electroencephalogram (EEG) signals. Most existing methods employ binary domain discriminato...

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Principais autores: Yuqi Chen, Ming Meng
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-05-01
Serier:Brain Sciences
Fag:
emotion recognition
EEG signal
adversarial domain adaptation
class-informed discriminator
Online adgang:https://www.mdpi.com/2076-3425/16/5/507
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