Adaptive training using an artificial neural network and EEG metrics for within- and cross-task workload classification.
Carryl L. BaldwinB. N. PenarandaPublished in: NeuroImage (2012)
Keyphrases
- supervised learning
- training phase
- single trial
- training set
- eeg signals
- training samples
- training process
- classification scheme
- classification accuracy
- support vector machine svm
- brain computer interface
- support vector machine
- feature extraction
- labelled data
- svm classifier
- decision rules
- machine learning
- pattern classification
- automatic classification
- classification algorithm
- motor imagery
- classification systems
- spatial filters
- test set
- training examples
- classification rules
- class labels
- benchmark datasets
- linear svm
- training procedure
- signal processing
- support vector
- classification performances
- hand movements
- decision trees
- feature selection