Multiple graph fusion based on Riemannian geometry for motor imagery classification.
Xiaofeng XieXiaokun ZouTianyou YuRongnian TangYao HouFeifei QiPublished in: Appl. Intell. (2022)
Keyphrases
- motor imagery
- eeg signals
- classification accuracy
- pattern recognition
- brain computer interface
- online training
- pattern classification
- machine learning
- text classification
- decision rules
- feature extraction
- support vector
- blind source separation
- information geometry
- signal processing
- principal component analysis
- feature selection