Adaptive SVM-Based Classification Increases Performance of a MEG-Based Brain-Computer Interface (BCI).
Martin SpülerWolfgang RosenstielMartin BogdanPublished in: ICANN (1) (2012)
Keyphrases
- motor imagery
- support vector machine svm
- support vector machine
- support vector
- classification accuracy
- brain computer interface
- pattern recognition
- feature space
- machine learning
- svm classifier
- event related
- image classification
- pattern classification
- automatic classification
- feature vectors
- decision trees
- signal processing
- supervised learning
- classification method
- classification rules
- classification models
- brain signals
- eeg signals
- classification systems
- single trial
- classification scheme
- machine learning methods
- classification algorithm
- class labels
- classification rate
- decision rules
- kernel function
- classification process
- svm classification
- human computer interaction
- feature set
- knn
- neural network