Automated Face Analysis by Feature Point Tracking Has High Concurrent Validity With Manual FACS Coding

Jeffrey F. Cohn, Adena J. Zlochower, James Jenn-Jier Lien, Takeo Kanade

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter presents a study that implemented the first version of an automated method of face analysis and assessed its concurrent validity with manual Facial Action Coding System (FACS) coding. Discriminant function analyses are performed on the feature point measurements for action units in brow, eye, and mouth regions. The automated face analysis by feature point tracking demonstrated high concurrent validity with manual FACS coding. The work regarding the behavioral and computer scientists is presented in order to develop and apply a computer-vision-based approach, the CMU/Pitt Automated Facial Image Analysis (AFA) System, to these aspects of facial expression. A summary of the progress with AFA in the recognition and analysis of facial action units and emergent applications to problems in emotion theory and clinical practice is also given.

Original languageEnglish
Title of host publicationWhat the Face Reveals
Subtitle of host publicationBasic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS)
PublisherOxford University Press
ISBN (Electronic)9780199847044
ISBN (Print)9780195179644
DOIs
Publication statusPublished - 2012 Mar 22

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Facial Expression
Discriminant Analysis
Mouth
Emotions

All Science Journal Classification (ASJC) codes

  • Psychology(all)

Cite this

Cohn, J. F., Zlochower, A. J., Lien, J. J-J., & Kanade, T. (2012). Automated Face Analysis by Feature Point Tracking Has High Concurrent Validity With Manual FACS Coding. In What the Face Reveals: Basic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS) Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195179644.003.0018
Cohn, Jeffrey F. ; Zlochower, Adena J. ; Lien, James Jenn-Jier ; Kanade, Takeo. / Automated Face Analysis by Feature Point Tracking Has High Concurrent Validity With Manual FACS Coding. What the Face Reveals: Basic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS). Oxford University Press, 2012.
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Cohn, JF, Zlochower, AJ, Lien, JJ-J & Kanade, T 2012, Automated Face Analysis by Feature Point Tracking Has High Concurrent Validity With Manual FACS Coding. in What the Face Reveals: Basic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195179644.003.0018

Automated Face Analysis by Feature Point Tracking Has High Concurrent Validity With Manual FACS Coding. / Cohn, Jeffrey F.; Zlochower, Adena J.; Lien, James Jenn-Jier; Kanade, Takeo.

What the Face Reveals: Basic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS). Oxford University Press, 2012.

Research output: Chapter in Book/Report/Conference proceedingChapter

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Cohn JF, Zlochower AJ, Lien JJ-J, Kanade T. Automated Face Analysis by Feature Point Tracking Has High Concurrent Validity With Manual FACS Coding. In What the Face Reveals: Basic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS). Oxford University Press. 2012 https://doi.org/10.1093/acprof:oso/9780195179644.003.0018