MSLTE: multiple self-supervised learning tasks for enhancing EEG emotion recognition

. The instability of the EEG acquisition devices may lead to information loss in the channels or frequency bands of the collected EEG. This phenomenon may be ignored in available models, which leads to the overfitting and low generalization of the model. . Multiple self-supervised learning tasks are...

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Bibliographic Details

Published in:	Journal of neural engineering Vol. 21; no. 2
Main Authors:	Li, Guangqiang, Chen, Ning, Niu, Yixiang, Xu, Zhangyong, Dong, Yuxuan, Jin, Jing, Zhu, Hongqin
Format:	Journal Article
Language:	English
Published:	England 01.04.2024
Subjects:	Datasets as Topic Electroencephalography Emotions Humans Supervised Machine Learning - standards multi-task learning EEG emotion recognition graph autoencoder weight sharing mask-based self-supervised learning
ISSN:	1741-2552, 1741-2552
Online Access:	Get more information
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