On the use of convolutional neural networks and augmented CSP features for multi-class motor imagery of EEG signals classification.
Huijuan YangSiavash SakhaviKai Keng AngCuntai GuanPublished in: EMBC (2015)
Keyphrases
- eeg signals
- multi class
- motor imagery
- brain computer interface
- signal processing
- multi class classification
- convolutional neural networks
- healthy subjects
- extracted features
- multiple classes
- multi class classifier
- support vector machine
- brain activity
- cost sensitive
- multi class svm
- eeg data
- object detection
- feature vectors
- multi class boosting
- binary and multi class
- error correcting output codes
- linear discriminant classifier
- computer vision
- base classifiers
- class labels
- multi class problems
- image classification
- pairwise
- support vector
- feature extraction
- image processing
- feature selection