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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    Lourens, T., & Barakova, E. I. (2009). Retrieving emotion from motion analysis: in a real time parallel framework for robots. In C. S. Leung, M. Lee, & J. H. Chan (Eds.), Neural Information Processing. 16th International Conference, ICONIP 2009, Bangkok, Thailand, December 1-5, 2009. Proceedings, Part II (pp. 430-438). (Lecture Notes in Computer Science; Vol. 5864). Berlin: Springer. https://doi.org/10.1007/978-3-642-10684-2_48