Retrieving emotion from motion analysis: in a real time parallel framework for robots

T. Lourens, E.I. Barakova

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

    5 Citations (Scopus)

    Abstract

    This paper presents a parallel real time framework for emotion extraction from video fragments of human movements. Its framework is used for tracking of a waving hand by evaluation of moving skin-colored objects. The tracking analysis demonstrates that acceleration and frequency characteristics of the traced objects are relevant for classification of the emotional expressiveness of human movements. The solution is part of a larger project on interaction between a human and a humanoid robot with the aim of training social behavioral skills to autistic children with robots acting in a natural environment.
    Original languageEnglish
    Title of host publicationNeural Information Processing. 16th International Conference, ICONIP 2009, Bangkok, Thailand, December 1-5, 2009. Proceedings, Part II
    EditorsC.S. Leung, M. Lee, J.H Chan
    Place of PublicationBerlin
    PublisherSpringer
    Pages430-438
    ISBN (Print)978-3-642-10682-8
    DOIs
    Publication statusPublished - 2009
    Event16th International Conference on Neural Information Processing (ICONIP 2009) - Bangkok, Thailand
    Duration: 1 Dec 20095 Dec 2009
    Conference number: 16

    Publication series

    NameLecture Notes in Computer Science
    Volume5864
    ISSN (Print)0302-9743

    Conference

    Conference16th International Conference on Neural Information Processing (ICONIP 2009)
    Abbreviated titleICONIP 2009
    CountryThailand
    CityBangkok
    Period1/12/095/12/09

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