Meta Learn on Constrained Transfer Learning for Low Resource Cross Subject EEG Classification

Meta Learn on Constrained Transfer Learning for Low Resource Cross Subject EEG Classification

Electroencephalogram (EEG) signal has large variance and its pattern differs significantly across subjects. Cross subject EEG classification is a challenging task due to such pattern variation and the limited target data available, as collecting and annotating EEG data for a new user is costly and i...

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Bibliographic Details
Main Authors: Tiehang Duan, Mohammad Abuzar Shaikh, Mihir Chauhan, Jun Chu, Rohini K. Srihari, Archita Pathak, Sargur N. Srihari
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Transfer learning
EEG classification
meta learning
interpretable learning
Online Access:https://ieeexplore.ieee.org/document/9296222/

Internet

https://ieeexplore.ieee.org/document/9296222/

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