查看文章

Recognition of facial emotions has important role in HCI. One of the components of the system for facial emotion Recognition is classification. For classification with the fuzzy logic system, setting parameters of membership functions has significant importance. In this research, first for extraction of feature, two extractions of feature linear subspace projection and nonlinear subspace projection toolboxes named pretty helpful development toolboxes were used. For classification of the resultant data from feature extraction, the fuzzy inference system was used. For setting the parameters of membership functions, the improved PSO algorithm was taken advantage of to be able to increase the precision of classification. Precision of system classification was calculated with each of the PSO, ACOR, Genetic and SA algorithms. Next, the precision of classification resulting from combination of PSO with each of these algorithms …