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

• Published in: Expert systems with applications Vol. 47; pp. 35 - 41
• Main Authors: Atkinson, John, Campos, Daniel
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.04.2016
• Subjects: Brain–Computer Interfaces; Classification; Classifiers; Computation; EEG; Electroencephalography; Emotion classification; Emotion recognition; Emotions; Feature recognition; Feature selection; Recognition; Tasks; Emotion recognition; Feature selection; Brain–Computer Interfaces; EEG; Emotion classification

•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 m...