Comprehensive Study of Facial Action Coding

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Facial Action Coding System

The Facial Action Coding System (FACS) is a widely used protocol for recognizing and labelling 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 discriminable mo...

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Although previous studies of horses have investigated their facial expressions in specific contexts, e.g. pain, until now there has been no methodology available that documents all the possible facial movements of the horse and provides a way to record all potential facial configurations. This is essential for an objective description of horse facial expressions across a range of contexts that ...

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Correction: EquiFACS: The Equine Facial Action Coding System

The following information is missing from the Funding section: the Biotechnology and Biological Sciences Research Council grant no. BB/D526896/1. The complete, correct Funding statement is: JW was supported by a studentship from the Biotechnology and Biological Sciences Research Council, grant no. BB/D526896/1 (BBSRC— www.bbsrc.ac.uk) and the University of Sussex, and also an Alumni Travel Gran...

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Observer-Based Measurement of Facial Expression with the Facial Action Coding System

to name a few. Because of its importance to the study of emotion, a number of observer-based systems of facial expression measurement have been developed Using FACS and viewing video-recorded facial behavior at frame rate and slow motion, coders can manually code nearly all possible facial expressions, which are decomposed into action units (AUs). Action units, with some qualifications , are th...

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Facial Micro-Expression Detection in Hi-Speed Video Based on Facial Action Coding System (FACS)

Facial micro-expressions are fast and subtle facial motions that are considered as one of the most useful external signs for detecting hidden emotional changes in a person. However, they are not easy to detect and measure as they appear only for a short time, with small muscle contraction in the facial areas where salient features are not available. We propose a new computer vision method for d...

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ژورنال

عنوان ژورنال: International Journal of Applied Information Systems

سال: 2017

ISSN: 2249-0868

DOI: 10.5120/ijais2017451643