Paul Ekman
- Published in print:
- 2005
- Published Online:
- March 2012
- ISBN:
- 9780195179644
- eISBN:
- 9780199847044
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780195179644.003.0030
- Subject:
- Psychology, Cognitive Psychology
This collection of articles vividly illustrates how rich and diverse is the information that can be obtained by measuring facial behavior. A methodological issue that should be of concern to all ...
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This collection of articles vividly illustrates how rich and diverse is the information that can be obtained by measuring facial behavior. A methodological issue that should be of concern to all Facial Action Coding System (FACS) users, new and old, is considered. Next, the substantive matters raised by the basic research chapters, and then the substantive issues raised by the applied research chapters, are addressed. It specifically discusses the issues about FACS scoring. There can be no single conclusion from this set of very interesting studies, beyond the very simple and dramatically illustrated fact that measurement of facial behavior reveals unique and important information about a wide variety of psychological phenomena.Less
This collection of articles vividly illustrates how rich and diverse is the information that can be obtained by measuring facial behavior. A methodological issue that should be of concern to all Facial Action Coding System (FACS) users, new and old, is considered. Next, the substantive matters raised by the basic research chapters, and then the substantive issues raised by the applied research chapters, are addressed. It specifically discusses the issues about FACS scoring. There can be no single conclusion from this set of very interesting studies, beyond the very simple and dramatically illustrated fact that measurement of facial behavior reveals unique and important information about a wide variety of psychological phenomena.
Marian Bartlett, Gwen Littlewort, Esra Vural, Jake Whitehill, Tingfan Wu, Kang Lee, and Javier Movellan
- Published in print:
- 2010
- Published Online:
- August 2013
- ISBN:
- 9780262014533
- eISBN:
- 9780262289313
- Item type:
- chapter
- Publisher:
- The MIT Press
- DOI:
- 10.7551/mitpress/9780262014533.003.0015
- Subject:
- Psychology, Vision
This chapter offers information on the Computer Expression Recognition Toolbox (CERT), a computer vision-based system for recognizing facial expression, which uses detectors of facial action units. ...
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This chapter offers information on the Computer Expression Recognition Toolbox (CERT), a computer vision-based system for recognizing facial expression, which uses detectors of facial action units. It also presents experiments analyzing spontaneous behavior with automated expression recognition to find new information about the coupling of movements such as eye openness with brows raised during driver drowsiness. The chapter tests the usefulness of CERT in various interactive applications that need automatic analysis, and discusses the Facial Action Coding System (FACS), a widely used method for coding facial expressions in the behavioral sciences. It concludes that research into facial expression dynamics which were previously infeasible by human coding will be enabled by the automated analysis of facial expressions.Less
This chapter offers information on the Computer Expression Recognition Toolbox (CERT), a computer vision-based system for recognizing facial expression, which uses detectors of facial action units. It also presents experiments analyzing spontaneous behavior with automated expression recognition to find new information about the coupling of movements such as eye openness with brows raised during driver drowsiness. The chapter tests the usefulness of CERT in various interactive applications that need automatic analysis, and discusses the Facial Action Coding System (FACS), a widely used method for coding facial expressions in the behavioral sciences. It concludes that research into facial expression dynamics which were previously infeasible by human coding will be enabled by the automated analysis of facial expressions.
Cristóbal Curio, Martin A. Giese, Martin Breidt, Mario Kleiner, and Heinrich H. Bülthoff
- Published in print:
- 2010
- Published Online:
- August 2013
- ISBN:
- 9780262014533
- eISBN:
- 9780262289313
- Item type:
- chapter
- Publisher:
- The MIT Press
- DOI:
- 10.7551/mitpress/9780262014533.003.0005
- Subject:
- Psychology, Vision
This chapter presents a psychophysical experiment in which 3D computer graphic methods were used to generate close-to-reality facial expressions to examine aspects of recognizing dynamic facial ...
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This chapter presents a psychophysical experiment in which 3D computer graphic methods were used to generate close-to-reality facial expressions to examine aspects of recognizing dynamic facial expressions in humans. The study shows that high-level aftereffects similar to those shown earlier for static faces are produced by dynamic faces. The findings indicate that the aftereffects, which are consistent for adaptation with dynamic anti-expressions, are highly expression-specific. The chapter also highlights how computer graphics-generated expressions can be used in order to rule out low-level motion aftereffects. Dynamic face stimuli were created by using a three-dimensional face model that is based on the Facial Action Coding System (FACS).Less
This chapter presents a psychophysical experiment in which 3D computer graphic methods were used to generate close-to-reality facial expressions to examine aspects of recognizing dynamic facial expressions in humans. The study shows that high-level aftereffects similar to those shown earlier for static faces are produced by dynamic faces. The findings indicate that the aftereffects, which are consistent for adaptation with dynamic anti-expressions, are highly expression-specific. The chapter also highlights how computer graphics-generated expressions can be used in order to rule out low-level motion aftereffects. Dynamic face stimuli were created by using a three-dimensional face model that is based on the Facial Action Coding System (FACS).
