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Improving Emotion Recognition with a Learning Multi-agent system

In Human-Computer Interaction Machine recognition of human emotional state is very important. Individual emotions play a crucial role during the interaction. Identifying person’s emotion state and providing personalized feedback is very difficult. We propose a novel and yet effective system to recognize human emotional state using learning Multi-agent system. In our system, the feature vectors are extracted and used to classify the emotion of the human. A Multi – agent system consists of a group of distributed agents to recognize the emotional state of a human. This paper provides an empirical study that how human’s emotions may be predicted and based upon their mood. Index terms – Emotional Intelligence, Human Computer Interaction (HCI), Self Reporting System, Facial Expression Recognition, Emotion recognition, Human action, Group behaviour, Human-centered computing.