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. Using FACS 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. 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. It is a common standard to systematically categorize the physical expression of emotions, and it has proven useful to psychologists and to animators. Movements of individual facial muscles are encoded by FACS from slight different instant changes in facial appearance. Hager published a significant update to FACS in 2002. It was later adopted by Paul Ekman and Wallace V. Facial Action Coding System ( FACS) is a system to taxonomize human facial movements by their appearance on the face, based on a system originally developed by a Swedish anatomist named Carl-Herman Hjortsjö.
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