Multimedia experience enhancement through affective computing

The aim of this work is to offer multimedia access (i.e. video queue and playlist) based on affective aspects of the interaction. In particular, the biosignals gathered from a commercial smartwatch are processed to propose an unobtrusive video classification based on users emotions. The validation performed allows to find a relation between the biosignal and the reported affective experience obtained using the Self-Assessment Manikin (SAM).