… failed to classify the ambiguous facial expressions because the classifier must … fuzzy
approach to model the emotion recognition from a single emotion classification into fuzzy emotion …

… proposes a facial expression recognition algorithm that automatically detects the facial image
… We also propose a classifier that has low computational cost and is based on a fuzzy logic …

… ) systems. This paper proposes a novel fuzzy method for facial expression recognition on …
this paper a novel FIS method based on fuzzy logic reasoning strategy is proposed for facial …

… approaches [12]–[17] for automatic facial expressions recognition system (AFERS). Two
well established geometric or fiducial points detection methods are active shape model (ASM) […

… In this paper, we define 573 fuzzy rules for emotion recognition using the fuzzy … fuzzy system
can deal with one of the main challenges of emotion recognition that is emotion recognition …

… Moments (LWPZM) and fuzzy classification. Pseudo Zernike Moments (PZM) … logic fuzzy
system for facial expression recognition. This system recognizes seven basic facial expressions …

… A neural network can be equipped with the capability of handling fuzzy information or a
fuzzy system can be augmented by neural networks to enhance some of its characteristics, like …

… the fuzzy video based emotion recognition system VISBER, that allows to analyze facial
expressions in … In order to process images in real-time a tracking mechanism is used for face …

… fuzzy sets: HIGH, MEDIUM, and LOW; the principles of the fuzzy relational scheme for emotion
recognition are … Experimental issues pertaining to emotion recognition are presented in …

… are most associated with the expression of emotion [8-11]. The fuzzy system presented in
this paper is based on using these AU’s to recognize emotion. Using the Japanese Female …