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The Facial Action Coding System (FACS) is based on Ekman's theory of universal facial expressions, which suggests that basic emotions are expressed similarly across all human cultures. Ekman and Friesen's FACS maps facial muscle movements to identify these emotions.
The Facial Action Coding System (FACS) was developed by Paul Ekman and Wallace Friesen in the 1970s to quantify emotions by analyzing facial displays. This analysis system is based on Ekman's theory of universal facial expressions. According to this theory, facial expressions corresponding to basic emotions such as happiness, anger, sadness, fear, and disgust are universal across different cultures.
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Researchers have been using Automatic Facial Expression Analysis (AFEA), which automates the Facial Action Coding System (FACS) and translates facial muscular positioning into the fundamental universal emotions, more and more to characterize human emotions.
The Face Action Coding System, developed by Ekman and Friesen between 1976 and 1978, is a revolutionary method for assessing facial behavior (FACS). The primary purpose of FACS was to provide a thorough framework for differentiating all potential visible anatomically based face motions (Ekman and Friesen, 1976). FACS offers a standard nomenclature for studying facial movement, The 3D Active Appearance Model (AAM) of a person's face is produced by the face reading software after it locates the person's face (Cootes and Taylor, 2000).
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