Context Sensitivity of EEG-Based Workload Classification Under Different Affective Valence.
Sebastian GrissmannMartin SpülerJosef FallerTanja KrumpeThorsten O. ZanderAugustin KelavaChristian ScharingerPeter GerjetsPublished in: IEEE Trans. Affect. Comput. (2020)
Keyphrases
- eeg signals
- feature vectors
- pattern recognition
- feature space
- classification accuracy
- automatic classification
- contextual information
- machine learning
- text classification
- classification systems
- feature set
- supervised learning
- support vector machine svm
- decision rules
- support vector
- decision trees
- class labels
- classification algorithm
- pattern classification
- context aware
- brain activity
- feature extraction
- sleep stage
- eeg data
- classification scheme
- motor imagery
- model selection
- classification rules
- svm classifier
- image classification
- signal processing
- support vector machine
- learning process
- training set
- feature selection