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Automated Facial Expression Analysis

  • Marian Stewart Bartlett
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 612)

Abstract

The ability to recognize facial signals is essential for natural communication between humans and until recently has been absent from the computer. Within the past decade, significant advances have enabled computer systems to understand and use this natural form of human communication. Because most investigators have limited their analysis to a small set of posed expressions, the generalizability of these systems to real world applications is low. Here we present an approach to automatic facial expression analysis based on the Facial Action Coding System (FACS). This system objectively measures facial expressions by decomposing them into component actions. FACS is presently performed by expert human observers, not computers. An automated facial action coding system will have a wide range of applications in behavioral science, medicine, and human-computer interaction. This chapter reviews the state of the art in automated facial expression analysis, describes the Facial Action Coding System, and outlines our approach to automating FACS.

Keywords

Facial Expression Optic Flow Face Image Radial Basis Function Neural Network Facial Expression Recognition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Marian Stewart Bartlett
    • 1
  1. 1.Institute for Neural ComputationUniversity of CaliforniaSan DiegoUSA

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