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Virtually cloning real human with motion style

  • CNRS SAMOVAR UMR 5157
  • Telecom Paris

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

1 Citation (Scopus)

Abstract

Our goal is to capture style from real human motion so it can be rendered with a virtual agent that represents this human user. We used expressivity parameters to describe motion style. As a first contribution, we propose an approach to estimate a subset of expressivity parameters defined in the literature (namely spatial extent and temporal extent) from captured motion trajectories. Second, we capture the expressivity of real users and then output it to the Greta engine that animates a virtual agent representing the user. We experimentally demonstrate that expressivity can be another clue for identifiable virtual clones of real humans.

Original languageEnglish
Title of host publicationProceedings of the Third International Conference on Intelligent Human Computer Interaction, IHCI 2011
PublisherSpringer Verlag
Pages125-136
Number of pages12
ISBN (Print)9783642316029
DOIs
Publication statusPublished - 1 Jan 2012
Externally publishedYes
Event3rd International Conference on Intelligent Human Computer Interaction, IHCI 2011 - Prague, Czech Republic
Duration: 29 Aug 201131 Aug 2011

Publication series

NameAdvances in Intelligent Systems and Computing
Volume179 AISC
ISSN (Print)2194-5357

Conference

Conference3rd International Conference on Intelligent Human Computer Interaction, IHCI 2011
Country/TerritoryCzech Republic
CityPrague
Period29/08/1131/08/11

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