Ekman facial action coding system

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Tuesday, July 31, 2018
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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What is Facial Action Coding System (FACS)?

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Machine Perception Laboratory

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. Other measures, such as interviews and psychometric tests, must be completed after a stimulus has been presented. Researchers have for a long time been limited to manually coding video recordings of participants according to the action units described by the FACS. This process is now possible to complete with automatic facial expression analysis, using tools such as Affectiva.
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FACS Manual

The Facial Action Coding System FACS is an internationally recognized, sophisticated research tool that precisely measures the entire spectrum of human facial expressions. FACS has elucidated the physiological presence of emotion with very high levels of reliability. Created in the s by psychologists Paul Ekman and Wallace V. Friesen FACS provides a comprehensive taxonomy of human facial expressions. FACS remains the most widely used and acclaimed method for coding the minutest movements of the human face.
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Friesen, and published in Hager published a significant update to FACS in Due to subjectivity and time consumption issues, FACS has been established as a computed automated system that detects faces in videos, extracts the geometrical features of the faces, and then produces temporal profiles of each facial movement. Using FACS [8] human coders can manually code nearly any anatomically possible facial expression, deconstructing it into the specific action units AU and their temporal segments that produced the expression. As AUs are independent of any interpretation, they can be used for any higher order decision making process including recognition of basic emotions , or pre-programmed commands for an ambient intelligent environment.
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