Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers.

•A feature-based emotion recognition model is proposed for EEG-based BCI.•The approach combines statistical-based feature selection methods and SVM emotion classifiers.•The model is based on Valence/Arousal dimensions for emotion classification.•Our combined approach outperformed other recognition methods.