… facial expression recognition component is the emotional behavior (Σ) of the learner. The
fuzzy … modeler, test manager, and facial expression component, respectively, and provides as …

… as face image processing, facial video surveillance, and facial … Automatic facial expression
recognition is a difficult topic that … In the second instance, it performs the function of a fuzzy …

… , “Automatic facial expression recognition system using deep … , “Automatic facial expression
recognition system using deep … Fu, “Facial expression recognition in video with multiple …

… Thresholding method, template matching scheme and Fuzzy C-Means algorithm are used
for the detection of eyebrows, eyes and lips respectively. Then, four and eight feature points …

… feature from appearance feature for proper detection of pain through facial expression
analysis. [170] used fuzzy logic to monitor the emotion in the shape and texture feature in the …

… These emotions are Disgust, Anger, Happiness, Sadness, Fear, and Surprise. In this section,
we describe fuzzy rules for recognition of facial expression with the fuzzy values of facial …

… We propose a novel group emotion recognition model using a fuzzy system based on …
facial expression recognition studies have attempted to infer emotions by applying fuzzy …

… Human facial expression is the core carrier of feedback. Facial expression recognition(FER) …
Qian, ‘‘A novel distributed multitask fuzzy clustering algorithm for automatic MR brain image …

… The unquestionable importance of feelings as an antecedent … of emotions through
facial-expression recognition and their … The fuzzy classifier was adopted to recognize emotions …

… facial expression recognition system. Wavelet transform is one of the major key methods
utilized for feature extraction in facial emotion recognition. … for efficacious recognition of emotion. …