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FACS is used across many different personal and professional settings. It is often used in various scientific settings for research. It is also used by animators and computer scientists interested in facial recognition. FACS may also enable greater awareness and sensitivity to subtle facial behaviors. Such skills are useful for psychotherapists, interviewers, and anyone working in communications. It also describes how AUs appear in combinations.
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Facial Action Coding System (FACS) – A Visual Guidebook
Facial Action Coding System (FACS) - A Visual Guidebook - iMotions
Facial expression is widely used to evaluate emotional impairment in neuropsychiatric disorders. Unlike facial expression ratings based on categorization of expressions into prototypical emotions happiness, sadness, anger, fear, disgust, etc. However, FACS rating requires extensive training, and is time consuming and subjective thus prone to bias. To overcome these limitations, we developed an automated FACS based on advanced computer science technology. The system automatically tracks faces in a video, extracts geometric and texture features, and produces temporal profiles of each facial muscle movement. These profiles are quantified to compute frequencies of single and combined Action Units AUs in videos, which can facilitate statistical study of large populations in disorders affecting facial expression. We derived quantitative measures of flat and inappropriate facial affect automatically from temporal AU profiles.
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Facial Action Coding System
The FACS as we know it today was first published in , but was substantially updated in Using FACS, we are able to determine the displayed emotion of a participant. This analysis of facial expressions is one of very few techniques available for assessing emotions in real-time fEMG is another option.
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