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Social Emotions in Nature and Artifact$
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Jonathan Gratch and Stacy Marsella

Print publication date: 2013

Print ISBN-13: 9780195387643

Published to Oxford Scholarship Online: January 2014

DOI: 10.1093/acprof:oso/9780195387643.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 30 July 2021

Automatic Facial Expression Recognition

Automatic Facial Expression Recognition

(p.88) 6 Automatic Facial Expression Recognition
Social Emotions in Nature and Artifact

Jacob Whitehill

Marian Stewart Bartlett

Javier R. Movellan

Oxford University Press

In this chapter we define the problem space and describe the core components of automatic facial expression recognition systems. In particular, we discuss the most prominent methods of face segmentation, face registration, feature extraction, classification, and temporal integration. We then present several practical applications of expression recognition technology. Finally, we comment on the core future challenges to the field, including generalization to multiple poses and ethnicities, collection of better training data, evaluation infrastructure, and commercialization.

Keywords:   automatic facial expression recognition, computer vision, machine learning, supervised learning, driver fatigue detection, intelligent tutoring systems, pain detection

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