Classification of multiclass motor imagery EEG signal using sparsity approach.
S. R. SreejaDebasis SamantaPublished in: Neurocomputing (2019)
Keyphrases
- eeg signals
- multi class
- motor imagery
- multiclass classification
- brain computer interface
- signal processing
- eeg data
- brain activity
- support vector machine
- multiple classes
- cost sensitive classification
- binary classifiers
- multiclass problems
- multi class classification
- cost sensitive
- healthy subjects
- mixed norm
- multi class classifier
- multiclass support vector machines
- binary classification
- binary classification problems
- sparse representation
- error correcting output codes
- feature selection
- multi task
- feature vectors
- pairwise
- machine learning
- perceptron algorithm
- high dimensional
- training set
- pattern recognition
- support vector
- image processing