MI-CAT: A transformer-based domain adaptation network for motor imagery classification.
Dongxue ZhangHuiying LiJingmeng XiePublished in: Neural Networks (2023)
Keyphrases
- motor imagery
- domain adaptation
- brain computer interface
- eeg signals
- multiple sources
- eeg data
- feature extraction
- pattern recognition
- co training
- document classification
- classification accuracy
- machine learning
- test data
- data sets
- feature representation
- independent component analysis
- semi supervised learning
- cross domain
- labeled data
- image classification
- information extraction
- blind source separation
- brain activity
- computer vision