The framework of mental state transition analysis

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

3 Scopus citations

Abstract

The Human Computer Interaction (HCI) Technology has emerged in the different fields in applications in computer vision and recognition systems such as virtual environment, video games, e-business and multimedia management. In this paper we propose a framework of designing the Mental State Transition (MST) of a human being or virtual character. The expressions of human emotion can be easily remarked by facial expressions, gestures, sound and other visual characteristics. But the potential MST modeling in affective data are always hidden actually. We analysis the framework of MST and employ DBNs to construct the MST networks and finally the experiment has been implemented to derive the ground truth of the data and verify the effectiveness.

Original languageEnglish
Title of host publicationMICAI 2007
Subtitle of host publicationAdvances in Artificial Intelligence - 6th Mexican International Conference on Artificial Intelligence, Proceedings
PublisherSpringer Verlag
Pages1046-1055
Number of pages10
ISBN (Print)9783540766308
DOIs
StatePublished - 2007
Event6th Mexican International Conference on Artificial Intelligence, MICAI 2007 - Aguascalientes, Mexico
Duration: 4 Nov 200710 Nov 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4827 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th Mexican International Conference on Artificial Intelligence, MICAI 2007
Country/TerritoryMexico
CityAguascalientes
Period4/11/0710/11/07

Keywords

  • HCI
  • Mental state transition
  • Psychological experiment
  • Virtual character

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