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EEG-enabled affective applications

: Sourina, Olga; Liu, Yisi


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Computer Society:
Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013. Proceedings : 2-5 September 2013, Geneva, Switzerland
Los Alamitos, Calif.: IEEE Computer Society Conference Publishing Services (CPS), 2013
ISBN: 978-0-7695-5048-0
ISBN: 978-1-4799-0632-1
Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII) <2013, Geneva>
Conference Paper
Fraunhofer IDM@NTU ()
Electroencephalography (EEG); affective computing; emotion classification; applications

Using Electroencephalogram (EEG) signals for affective interaction can make interfaces more intuitive. This project includes development of different affective applications based on an EEG-based real-time emotion recognition algorithm. The algorithm is subject-dependent one and consists from two parts: feature extraction and classification. The algorithm can recognize up to eight emotions with good accuracy. The demo includes affective games and emotional avatar applications. After a short session to train the classifier, an application is able to monitor the user's emotions, and the recognized emotions are used as the input to the applications.