Perception of emotional expressions in different representations using facial feature points | IEEE Conference Publication | IEEE Xplore
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Perception of emotional expressions in different representations using facial feature points


Abstract:

Facial expression recognition is an enabling technology for affective computing. Many existing facial expression analysis systems rely on automatically tracked facial fea...Show More

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.
Date of Conference: 10-12 September 2009
Date Added to IEEE Xplore: 08 December 2009
ISBN Information:

ISSN Information:

Conference Location: Amsterdam, Netherlands

References

References is not available for this document.