{"id":{"repo_id":"calgary","oai_identifier":"oai:ucalgary.scholaris.ca:1880/110620"},"canonical_url":"https://search.dev.ndltd.org/etd/calgary/oai:ucalgary.scholaris.ca:1880/110620","repository":{"repo_id":"calgary","name":"University of Calgary","base_url":"https://ucalgary.scholaris.ca/server/oai/request"},"display":{"title":"Recognizing human emotional states from body movement","abstract":"An emotion-aware computer system capable of responding to expressive human gestures and movements can significantly change the dynamics of human-computer interaction. This thesis addresses the problem of the creation of a computer model capable of automatically discerning emotion using various motion-related features of the human body. The proposed emotion recognition model automatically identifies relevant motion features using a combination of filter-based feature selection methods and the power of genetic algorithms. 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