Recognizing, Analyzing, and Assessing Human Interactions by Emotional Reactions

This paper describes the concept and information model for recognizing, analyzing and assessing the interaction of people from different target groups based on emotional reactions. The model includes the classification and identification of people by their clothing color, tracking their movement in a limited space, determining the fact of interaction between people and assessing the quality of interaction by human emotions, determined by face images and voice sounds. The concept and information model are realized in the developed automated video surveillance system for human interactions. The results of tests of the automated system are presented.