The Classification of EEG Signals with Multi-Domain Fusion Based on D-S Evidence Theory.
Rongxiang GeJianzhong HuPublished in: J. Circuits Syst. Comput. (2019)
Keyphrases
- eeg signals
- multi domain
- information fusion
- signal processing
- motor imagery
- classification accuracy
- extracted features
- feature extraction
- feature vectors
- eeg data
- linear discriminant classifier
- kernel density estimators
- brain computer interface
- cross domain
- text classification
- domain specific
- supervised learning
- brain activity
- search computing
- electrical activity
- feature selection
- svm classifier
- heterogeneous networks
- feature set
- support vector