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Mostafa Kia: paper accepted at ACII 2013

News date: 
Friday, 31 May, 2013

This paper presents a new multimodal database and associated results for characterization of affect (valence, arousal and dominance) using the Magnetoencephalogram (MEG) brain signal and peripheral physiological signals (horizontal EOG, ECG, trapezius EMG). The authors attempt single-trial classification of affect in movie and music video clips employing emotional responses extracted from eighteen participants.