Virtually Cloning Real Human with Motion Style

  • Manoj kumar Rajagopal
  • Patrick Horain
  • Catherine Pelachaud
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 179)


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.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Manoj kumar Rajagopal
    • 1
  • Patrick Horain
    • 1
  • Catherine Pelachaud
    • 2
  1. 1.Institut TelecomTelecom SudParisEvryFrance
  2. 2.CNRS Telecom ParisTechParisFrance

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