EEG-based emotion recognition with autoencoder feature fusion and MSC-TimesNet model

Electroencephalography (EEG) signals are widely employed due to their spontaneity and robustness against artifacts in emotion recognition. However, existing methods are often unable to fully integrate high-dimensional features and capture changing patterns in time series when processing EEG signals,...

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Bibliographic Details
Published inComputer methods in biomechanics and biomedical engineering pp. 1 - 18
Main Authors Yin, Jibin, Qiao, Zhijian, Han, Luyao, Zhang, Xiangliang
Format Journal Article
LanguageEnglish
Published England 17.03.2025
Subjects
PSD
DE
TimesNet
feature fusion
emotion recognition
Online AccessGet full text
ISSN1025-5842
1476-8259
1476-8259
DOI10.1080/10255842.2025.2477801

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