EEG-Enabled Affective 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.