Cross-Subject EEG Signal Recognition Using Deep Domain Adaptation Network

Cross-Subject EEG Signal Recognition Using Deep Domain Adaptation Network

Collecting sufficient labeled electroencephalography (EEG) data to build an individual classifier for each subject is extremely time-consuming and labor-intensive, especially for the disabled patients. A feasible way is to use labeled EEG data from other subjects (source domains) to train a model fo...

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Bibliographic Details
Main Authors: Wenlong Hang, Wei Feng, Ruoyu Du, Shuang Liang, Yan Chen, Qiong Wang, Xuejun Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
center-based discriminative feature learning
domain adaptation
electroencephalogram
maximum mean discrepancy
Online Access:https://ieeexplore.ieee.org/document/8822933/

Internet

https://ieeexplore.ieee.org/document/8822933/

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