Learning a robust unified domain adaptation framework for cross-subject EEG-based emotion recognition

Over the last few years, unsupervised domain adaptation (UDA) based on deep learning has emerged as a solution to build cross-subject emotion recognition models from Electroencephalogram (EEG) signals, aligning the subject distributions within a latent feature space. However, most reported works hav...

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Bibliographic Details
Published inBiomedical signal processing and control Vol. 86; p. 105138
Main Authors Jiménez-Guarneros, Magdiel, Fuentes-Pineda, Gibran
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.09.2023
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