%0 Conference Proceedings
%T Dominant and Complementary Multi-Emotional Facial Expression Recognition Using C-Support Vector Classification
%A Chirster Loob
%A Pejman Rasti
%A Iiris Lusi
%A Julio C. S. Jacques Junior
%A Xavier Baro
%A Sergio Escalera
%A Tomasz Sapinski
%A Dorota Kaminska
%A Gholamreza Anbarjafari
%B 12th IEEE International Conference on Automatic Face and Gesture Recognition
%D 2017
%F Chirster Loob2017
%O HUPBA; no menciona
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2925), last updated on Tue, 20 Sep 2022 15:14:33 +0200
%X We are proposing a new facial expression recognition model which introduces 30+ detailed facial expressions recognisable by any artificial intelligence interacting with a human. Throughout this research, we introduce two categories for the emotions, namely, dominant emotions and complementary emotions. In this research paper the complementary emotion is recognised by using the eye region if the dominant emotion is angry, fearful or sad, and if the dominant emotion is disgust or happiness the complementary emotion is mainly conveyed by the mouth. In order to verify the tagged dominant and complementary emotions, randomly chosen people voted for the recognised multi-emotional facial expressions. The average results of voting are showing that 73.88% of the voters agree on the correctness of the recognised multi-emotional facial expressions.
%U http://refbase.cvc.uab.es/files/LRL2017.pdf
%U http://dx.doi.org/10.1109/FG.2017.106