Automated Facial Action Coding System for dynamic analysis of facial expressions in neuropsychiatric disorders
نویسندگان
چکیده
منابع مشابه
Automated video-based facial expression analysis of neuropsychiatric disorders.
Deficits in emotional expression are prominent in several neuropsychiatric disorders, including schizophrenia. Available clinical facial expression evaluations provide subjective and qualitative measurements, which are based on static 2D images that do not capture the temporal dynamics and subtleties of expression changes. Therefore, there is a need for automated, objective and quantitative mea...
متن کاملFacial 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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Facial expressions play a major role in psychiatric diagnosis, monitoring and treatment adjustment. We recorded 34 schizophrenia patients and matched controls during a clinical interview, and extracted the activity level of 23 facial Action Units (AUs), using 3D structured light cameras and dedicated software. By defining dynamic and intensity AUs activation characteristic features, we found ev...
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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 ...
متن کاملMachine learning techniques for automated analysis of facial expressions
Automated analysis of facial expressions paves the way for numerous next-generationcomputing tools including affective computing technologies (proactive and affective user interfaces), learner-adaptive tutoring systems, medical and marketing applications, etc. In this thesis, we propose machine learning algorithms that head toward solving two important but largely understudied problems in autom...
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ژورنال
عنوان ژورنال: Journal of Neuroscience Methods
سال: 2011
ISSN: 0165-0270
DOI: 10.1016/j.jneumeth.2011.06.023