Deep Neural Network with Joint Distribution Matching for Cross-Subject Motor Imagery Brain-Computer Interfaces

Motor imagery brain-computer interfaces (BCIs) have demonstrated great potential and attract world-spread attentions. Due to the nonstationary character of the motor imagery signals, costly and boring calibration sessions must be proceeded before use. This prevents them from going into our realistic...

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Bibliographic Details
Published in:BioMed research international Vol. 2020; no. 2020; pp. 1 - 15
Main Authors: Cai, W., Liu, Cong, Zhao, Jieyu, Zhao, Xianghong
Format: Journal Article
Language:English
Published: Cairo, Egypt Hindawi Publishing Corporation 2020
Hindawi
John Wiley & Sons, Inc
Subjects:
Accuracy
Adaptation
Artificial neural networks
Calibration
Classification
Datasets
Deep learning
Domains
Electroencephalography
Human-computer interface
Imagery
Interfaces
Matching
Mental task performance
Neural networks
Probability distribution
ISSN:2314-6133, 2314-6141, 2314-6141
Online Access:Get full text
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