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Dynamic FacesInsights from Experiments and Computation$
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Cristobal Curio, Heinrich H. Bulthoff, and Martin A. Giese

Print publication date: 2010

Print ISBN-13: 9780262014533

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262014533.001.0001

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Insights on Spontaneous Facial Expressions from Automatic Expression Measurement

Insights on Spontaneous Facial Expressions from Automatic Expression Measurement

Chapter:
(p.211) 14 Insights on Spontaneous Facial Expressions from Automatic Expression Measurement
Source:
Dynamic Faces
Author(s):

Marian Bartlett

Gwen Littlewort

Esra Vural

Jake Whitehill

Tingfan Wu

Kang Lee

Javier Movellan

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262014533.003.0015

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.

Keywords:   CERT, facial expression, automated expression recognition, FACS, behavioral sciences

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