Recognizing, analyzing and assessing human interactions by emotional reactions

The 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 classification and identification of people by the cloth color, tracking their movement in a limited space, determining the fact of interaction between people and assessing the quality of interaction by human emotions, which are 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 testing the automated system are presented.