Perception of emotional expressions in different representations using facial feature points

Shazia Afzal*, Tevfik Metin Sezgin, Yujian Gao, Peter Robinson

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Citations (Scopus)

Abstract

Facial expression recognition is an enabling technology for affective computing. Many existing facial expression analysis systems rely on automatically tracked facial feature points. Although psychologists have studied emotion perception from manually specified or marker-based point-light displays, no formal study exists on the amount of emotional information conveyed through automatically tracked feature points. We assess the utility of automatically extracted feature points in conveying emotions for posed and naturalistic data and present results from an experiment that compared human raters' judgements of emotional expressions between actual video clips and three automatically generated representations of them. The implications for optimal face representation and creation of realistic animations are discussed.

Original languageEnglish
Title of host publicationProceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 - Amsterdam, Netherlands
Duration: 10 Sept 200912 Sept 2009

Publication series

NameProceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009

Conference

Conference2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
Country/TerritoryNetherlands
CityAmsterdam
Period10/09/0912/09/09

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