Transfer Learning With Optimal Transportation and Frequency Mixup for EEG-Based Motor Imagery Recognition

Transfer Learning With Optimal Transportation and Frequency Mixup for EEG-Based Motor Imagery Recognition

Electroencephalography-based Brain Computer Interfaces (BCIs) invariably have a degenerate performance due to the considerable individual variability. To address this problem, we develop a novel domain adaptation method with optimal transport and frequency mixup for cross-subject transfer learning i...

Full description

Bibliographic Details
Main Authors: Peiyin Chen, He Wang, Xinlin Sun, Haoyu Li, Celso Grebogi, Zhongke Gao
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Electroencephalogram (EEG)
brain-computer interface (BCI)
transfer learning
optimal transportation
Online Access:https://ieeexplore.ieee.org/document/9910147/

Internet

https://ieeexplore.ieee.org/document/9910147/

Similar Items