University of Hertfordshire

Recognizing facial expressions: Computational models and humans

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Aruna Shenoy
  • N. Davey
  • Ray Frank
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Original languageEnglish
Title of host publication2013 13th UK Workshop on Computational Intelligence, UKCI 2013
PublisherIEEE
Pages191-198
Number of pages8
ISBN (Print)9781479915682
DOIs
Publication statusPublished - 31 Dec 2013
Event2013 13th UK Workshop on Computational Intelligence, UKCI 2013 - Guildford, Surrey, United Kingdom
Duration: 9 Sep 201311 Sep 2013

Conference

Conference2013 13th UK Workshop on Computational Intelligence, UKCI 2013
CountryUnited Kingdom
CityGuildford, Surrey
Period9/09/1311/09/13

Abstract

This paper discusses various biologically plausible computational models that recognize human facial expression and analyze them. Identifying facial expressions is a non trivial task for a human and is a key part of social interactions. However, it is not as simple as that for a computational system. Here we analyze six different universally accepted facial expressions for analysis with the aid of six biologically plausible computational models. There have been a limited number of studies comparing the performance of human subjects with computational models for facial expression recognition. This paper does a genuine attempt in making this comparison.

ID: 7602279