Facial action coding system 2002

There is broad interest in the application of FACS for assessing consumer expressions as an indication of emotions to consumer product-stimuli. However, the translation of FACS to characterization of emotions is elusive in the literature. The aim of this systematic review is to give an overview of how FACS has been used to investigate human emotional behavior to consumer product-based stimuli. The search was limited to studies published in English after , conducted on humans, using FACS or its action units to investigate affect, where emotional response is elicited by consumer product-based stimuli evoking at least one of the five senses. The search resulted in an initial total of 1, records, of which 55 studies were extracted and categorized based on the outcomes of interest including i method of FACS implementation; ii purpose of study; iii consumer product-based stimuli used; and iv measures of affect validation. This review illuminated some inconsistencies in how FACS is carried out as well as how emotional response is inferred from facial muscle activation.

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Facial action coding system (FACS)

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Facial action coding system (Computer file, ) [justjewelrylinks.com]

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Facial action coding system

The Facial Action Coding System FACS is a widely used protocol for recognizing and labeling facial expression by describing the movement of muscles of the face. FACS is used to objectively measure the frequency and intensity of facial expressions without assigning any emotional meaning to those muscle movements. Instead, FACS breaks down facial expressions into their smallest discernable movements called action units. Each action unit creates a distinct change in facial appearance, such as an eyebrow lift or nose wrinkle. FACS coders can identify the action units that are present on the face when viewing still images or videos.
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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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