Cross-Subject Emotion Recognition Based on Domain Similarity of EEG Signal Transfer Learning

For solving the problem of the inevitable decline in the accuracy of cross-subject emotion recognition via Electroencephalograph (EEG) signal transfer learning due to the negative transfer of data in the source domain, this paper offers a new method to dynamically select the data suitable for transf...

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Библиографические подробности

Главные авторы:	Yuliang Ma, Weicheng Zhao, Ming Meng, Qizhong Zhang, Qingshan She, Jianhai Zhang
Формат:	Artigo
Язык:	Inglês
Опубликовано:	IEEE 2023-01-01
Серии:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Предметы:	Copula function electroencephalograph (EEG) emotion recognition local tangent space alignment (LTSA) transfer learning
Online-ссылка:	https://ieeexplore.ieee.org/document/10017294/
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