@InProceedings{PaivaCostMart:2016:SuMeCl,
               author = "Paiva, Francisco Aul{\'{\i}}sio dos Santos and Costa, Paula 
                         Dornhofer Paro and De Martino, Jos{\'e} Mario",
          affiliation = "Dept. of Computer Engineering and Industrial Automation, School of 
                         Electrical and Computer Engineering, University of Campinas 
                         (Unicamp) and Dept. of Computer Engineering and Industrial 
                         Automation, School of Electrical and Computer Engineering, 
                         University of Campinas (Unicamp) and Dept. of Computer Engineering 
                         and Industrial Automation, School of Electrical and Computer 
                         Engineering, University of Campinas (Unicamp)",
                title = "Supervised Methods for Classifying Facial Emotions",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Classification, emotions, facial expressions.",
             abstract = "This paper presents a comparison between the K-NN (K-Nearest 
                         Neighbors) and SVM (Support Vector Machine) methods for 
                         classifying emotions. The database contains a set of 568 images of 
                         faces expressing 22 emotions. Classification is carried out in 
                         such a way as to classifying these 22 emotions as well as two 
                         other sets of categories, namely valence (positive and negative 
                         emotions) and the so-called six basic emotions (joy, sadness, 
                         fear, surprise, disgust, anger). Different sets of features were 
                         tested (statistics of histograms of regions of interest - mouth 
                         and eyes - and distances between characteristic points on the 
                         face) as well as different configurations of input parameters for 
                         training the classifiers in order to achieve the best performance. 
                         The results of the three experiments reveal accuracy values 
                         ranging from 79% to 90% for the K-.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
             language = "en",
                  ibi = "8JMKD3MGPAW/3MDKBQP",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3MDKBQP",
           targetfile = "2016_SIBGRAPI_WorkshopFace_CR.pdf",
        urlaccessdate = "2024, Apr. 28"
}