Abstract. Over the past decade we have observed an increasing interest in developing technologies for automatic emotion recognition. The capacity of automatically recognizing emotions has many applications in environments where machines need to interact and collaborate with humans. However, how can machines recognize emotions? In this tutorial we gave an introduction to affective computing (also known as emotional artificial intelligence), the discipline that studies and develops systems and devices that can recognize, interpret, process, or simulate emotions or feelings. After a general introduction to affective computing, we focused on techniques for emotion recognition, paying special attention to the problem of emotion recognition from images. We reviewed some research on emotion recognition based on face and body analysis and we discussed the importance of analyzing scenes and context, in addition to faces, in order to better recognize emotions. In particular, we showed how emotion recognition can be approached from a scene understanding perspective.
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