Article

Automated Facial Expression Measurement: recent Applications to Basic Research in Human Behavior, Learning, and Education

Marian Stewart Bartlett and Jacob Whitehill

in Oxford Handbook of Face Perception

Published in print July 2011 | ISBN: 9780199559053
Published online November 2012 | | DOI: http://dx.doi.org/10.1093/oxfordhb/9780199559053.013.0025

Series: Oxford Library of Psychology

 Automated Facial Expression Measurement: recent Applications to Basic Research in Human Behavior, Learning, and Education

More Like This

Show all results sharing these subjects:

  • Psychology
  • Cognitive Psychology

GO

Show Summary Details

Preview

Automatic facial expression recognition has now advanced to the point that we are able to apply it to spontaneous expressions. The automated tools enable new research activity in cognitive neuroscience, psychiatry, education, human–machine communication, and human social dynamics. Moreover, automated facial expression analysis enables investigations into facial expression dynamics that were previously intractable by human coding because of the time required to code intensity changes. This article provides an overview on the state of the art in computer vision approaches to facial expression recognition, including methods for characterizing expression dynamics. It then discusses behavioral studies that have employed automatic facial expression recognition to learn new information about the relationships of facial expression to internal state, and reviews the first generation of applications in learning and education that take advantage of the real-time expression signal.

Keywords: automatic facial expression; human social dynamics; behavioral studies; learning; education

Article.  11346 words. 

Subjects: Psychology ; Cognitive Psychology

Full text: subscription required

How to subscribe Recommend to my Librarian

Buy this work at Oxford University Press »

Users without a subscription are not able to see the full content. Please, subscribe or login to access all content.