… 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 …

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

… a novel fuzzy method for facial expression recognition on still images of the face. The new
… this paper a novel FIS method based on fuzzy logic reasoning strategy is proposed for facial …

… scheme for facial expression recognition from facial features using Mamdani-type fuzzy system.
… Fuzzy logic can be used to form linguistic models [12] and comes with a solid qualitative …

… 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 …

… for emotion recognition from facial expressions. Besides allowing emotion recognition from
image … , and unobtrusive facial emotional expressions. It uses FURIA algorithm for unordered …

… scheme for facial expression recognition from facial features using Mamdani-type fuzzy system.
… We present a Mamdani-type fuzzy system for facial expression recognition. This system …

… a system framework that uses fuzzy logic principles to recognize facial expressions in video
… to detect MPEG4 Facial Animation Parameters (FAPs) in an input video. A fuzzy rule base …

… facial expressions because the classifier must separate two classes absolutely. Therefore, we
propose a fuzzy approach to model the emotion recognition … control using fuzzy logic. IEEE …

… Several methods and techniques have been developed to enhance the detection rate
and the speed of facial expression recognition. One of these techniques is CNNs, which are …