TY  - CONF
AU  - Chirster Loob
AU  - Pejman Rasti
AU  - Iiris Lusi
AU  - Julio C. S. Jacques Junior
AU  - Xavier Baro
AU  - Sergio Escalera
AU  - Tomasz Sapinski
AU  - Dorota Kaminska
AU  - Gholamreza Anbarjafari
A2  - FG
PY  - 2017//
TI  - Dominant and Complementary Multi-Emotional Facial Expression Recognition Using C-Support Vector Classification
BT  - 12th IEEE International Conference on Automatic Face and Gesture Recognition
N2  - 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.
L1  - http://refbase.cvc.uab.es/files/LRL2017.pdf
UR  - http://dx.doi.org/10.1109/FG.2017.106
N1  - HUPBA; no menciona
ID  - Chirster Loob2017
ER  -