Rcmp nsis facial action coding system

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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.