Fusing highly dimensional energy and connectivity features to identify affective states from EEG signals.
Pablo Arnau-GonzálezMiguel Arevalillo-HerráezNaeem RamzanPublished in: Neurocomputing (2017)
Keyphrases
- eeg signals
- extracted features
- affective states
- feature extraction
- signal processing
- brain computer interface
- neural network
- feature space
- feature vectors
- classification accuracy
- image features
- svm classifier
- emotion recognition
- electrical activity
- physiological signals
- brain activity
- feature set
- ground truth
- feature selection