Spectral EEG-based classification for operator dyads' workload and cooperation level estimation.
Kevin J. VerdiereFrédéric DehaisRaphaëlle N. RoyPublished in: SMC (2019)
Keyphrases
- eeg signals
- spectral features
- cooperative
- automatic classification
- feature extraction
- classification accuracy
- pattern classification
- preprocessing
- hyperspectral data
- classification algorithm
- pattern recognition
- classification models
- multi agent
- density estimation
- support vector machine
- hyperspectral
- support vector machine svm
- image classification
- data sets
- feature space
- support vector
- decision trees
- motor imagery
- spectral analysis
- hyperspectral images
- feature vectors
- classification scheme
- signal processing
- maximum likelihood criterion
- classification method
- response time
- supervised learning
- knn
- image processing
- neural network