A novel method for classification of BCI multi-class motor imagery task based on Dempster-Shafer theory.
Sara RaziMohammad Reza Karami MollaeiJamal GhasemiPublished in: Inf. Sci. (2019)
Keyphrases
- multi class
- motor imagery
- support vector machine
- multi class classification
- dempster shafer theory
- binary and multi class
- multi class svm
- brain computer interface
- multi class classifier
- machine learning
- support vector machine svm
- training samples
- pairwise
- classification accuracy
- binary classifiers
- error correcting output codes
- cross validation
- feature space
- support vector
- neural network
- training set
- feature selection
- multi class problems
- multi label classification
- multi class svms
- computer vision
- bayesian networks
- improve the classification accuracy
- eeg data
- object detection
- cost sensitive
- non stationary
- feature set