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

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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Bibliographic Details
Main Authors: Yuliang Ma, Weicheng Zhao, Ming Meng, Qizhong Zhang, Qingshan She, Jianhai Zhang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Copula function
electroencephalograph (EEG)
emotion recognition
local tangent space alignment (LTSA)
transfer learning
Online Access:https://ieeexplore.ieee.org/document/10017294/

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