Effective Emotional Classification Combining Facial Classifiers and User Assessment

Authors:
Isabelle Hupont;Sandra Baldassarri;Rafael Hoyo;Eva Cerezo
Affiliations:
Instituto Tecnológico de Aragón, , Zaragoza, Spain;Departamento de Informática e Ingeniería de Sistemas, Instituto de Investigación en Ingeniería de Aragón, Universidad de Zaragoza, Spain;Instituto Tecnológico de Aragón, , Zaragoza, Spain;Departamento de Informática e Ingeniería de Sistemas, Instituto de Investigación en Ingeniería de Aragón, Universidad de Zaragoza, Spain
Venue:
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Year:
2008

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Abstract

An effective method for the automatic classification of facial expressions into emotional categories is presented. The system is able to classify the user facial expression in terms of the six Ekman's universal emotions (plus the neutral one), giving a membership confidence value to each emotional category. The method is capable of analysing any subject, male or female of any age and ethnicity. The classification strategy is based on a combination (weighted majority voting) of the five most used classifiers. Another significant difference with other works is that human assessment is taken into account in the evaluation of the results. The information obtained from the users classification makes it possible to verify the validity of our results and to increase the performance of our method.