Transfer Learning with Optimal Transportation and Frequency Mixup for EEG-based Motor Imagery Recognition

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 30; p. 1
• Main Authors: Chen, Peiyin, Wang, He, Sun, Xinlin, Li, Haoyu, Grebogi, Celso, Gao, Zhongke
• Format: Journal Article
• Language: English
• Published: New York IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation; Adaptation models; Benchmarks; Brain modeling; brain-computer interface (BCI); EEG; electroencephalogram (EEG); Electroencephalography; Embedding; Feature extraction; Frequency-domain analysis; Human-computer interface; Imagery; Interfaces; Learning; Mathematical analysis; Mental task performance; Motor skill learning; optimal transportation; Transfer learning; Transportation

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...