Correlation between computer recognized facial emotions and informed emotions during a casino computer game

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dc.contributor.advisorKent, Kenneth
dc.contributor.advisorHerpers, Rainer
dc.contributor.authorReichert, Nils
dc.date.accessioned2023-03-01T16:23:57Z
dc.date.available2023-03-01T16:23:57Z
dc.date.issued2012
dc.date.updated2023-03-01T15:02:03Z
dc.description.abstractEmotions play an important role for everyday communication. Different methods allow computers to recognize emotions. Most are trained with acted emotions and it is unknown if such a model would work for recognizing naturally appearing emotions. An experiment was setup to estimate the recognition accuracy of the emotion recognition software SHORE, which could detect the emotions angry, happy, sad, and surprised. Subjects played a casino game while being recorded. The software recognition was correlated with the recognition of ten human observers. The results showed a strong recognition for happy, medium recognition for surprised, and a weak recognition for sad and angry faces. In addition, questionnaires containing self-informed emotions were compared with the computer recognition, but only weak correlations were found. SHORE was able to recognize emotions almost as well as humans were, but if humans had problems to recognize an emotion, then the accuracy of the software was much lower.
dc.description.copyright© Nils Reichert, 2012
dc.formattext/xml
dc.format.extentx, 153 pages
dc.format.mediumelectronic
dc.identifier.urihttps://unbscholar.lib.unb.ca/handle/1882/13738
dc.language.isoen_CA
dc.publisherUniversity of New Brunswick
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subject.disciplineComputer Science
dc.titleCorrelation between computer recognized facial emotions and informed emotions during a casino computer game
dc.typemaster thesis
thesis.degree.disciplineComputer Science
thesis.degree.fullnameMaster of Science
thesis.degree.grantorUniversity of New Brunswick
thesis.degree.levelmasters
thesis.degree.nameM.Sc.

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