EEG signal separation for multi-class motor imagery using common spatial patterns based on Joint Approximate Diagonalization.
Sidath Ravindra LiyanageJian-Xin XuCuntai GuanKai Keng AngTong Heng LeePublished in: IJCNN (2010)
Keyphrases
- motor imagery
- multi class
- eeg signals
- brain computer interface
- signal processing
- healthy subjects
- pairwise
- multi class classification
- support vector machine
- binary classification
- multiple classes
- object detection
- brain activity
- eeg data
- multi class boosting
- cost sensitive
- error correcting output codes
- multi class classifier
- event related potentials
- data mining
- multi class svm
- feature selection
- data sets
- binary classifiers
- base classifiers
- image classification
- computer vision
- binary and multi class
- multi class object detection