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Modeling of layered fuzzy facial expression generation

  • Yu Li Xue*
  • , Xia Mao
  • , Zheng Li
  • , Wei He Diao
  • *Corresponding author for this work
  • Beihang University

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

Abstract

This paper proposed a layered fuzzy model of facial expression generation, in which the layers of physiological model at low level, emotional model at middle level and social rules at high level determine the fuzzy facial expression generation. In the layered fuzzy facial expression generation system, facial expressions of 26 emotions can be fuzzily generated, as well as social expressions and instinctive expressions. Experiment results indicated that the model of layered fuzzy facial expression generation works well in displaying lifelike facial expressions.

Original languageEnglish
Title of host publicationDigital Human Modeling - First International Conference on Digital Human Modeling, ICDHM 2007. Held as Part of HCI International 2007, Proceedings
PublisherSpringer Verlag
Pages243-252
Number of pages10
ISBN (Print)9783540733188
DOIs
StatePublished - 2007
Event1st International Conference on Digital Human Modeling, ICDHM 2007 - Beijing, China
Duration: 22 Jul 200727 Jul 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4561 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Digital Human Modeling, ICDHM 2007
Country/TerritoryChina
CityBeijing
Period22/07/0727/07/07

Keywords

  • Facial expression generation
  • Fuzzy theory
  • Layered fuzzy model

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