Acting the part: The role of gesture on avatar identity

Andrew Feng, Gale Lucas, Stacy Marsella, Evan Suma, Chung Cheng Chiu, Dan Casas, Ari Shapiro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations


Recent advances in scanning technology have enabled the widespread capture of 3D character models based on human subjects. However, in order to generate a recognizable 3D avatar, the movement and behavior of the human subject should be captured and replicated as well. We present a method of generating a 3D model from a scan, as well as a method to incorporate a subjects style of gesturing into a 3D character. We present a study which shows that 3D characters that used the gestural style as their original human subjects were more recognizable as the original subject than those that don't.

Original languageEnglish (US)
Title of host publicationProceedings - Motion in Games 2014, MIG 2014
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery
Number of pages6
ISBN (Electronic)9781450326230
StatePublished - Nov 6 2014
Externally publishedYes
Event7th International Conference on Motion in Games, MIG 2014 - Los Angeles, United States
Duration: Nov 6 2014Nov 8 2014

Publication series

NameProceedings - Motion in Games 2014, MIG 2014


Other7th International Conference on Motion in Games, MIG 2014
Country/TerritoryUnited States
CityLos Angeles

Bibliographical note

Funding Information:
This work was partially supported by the Czech Science Foundation under Project P201/12/P055 and partially by ESF Project CZ.1.07/2.3.00/20.0051 Algebraic methods in Quantum Logic of the Masaryk University. Supported by

Publisher Copyright:
Copyright © ACM.


  • 3D
  • Animation
  • Avatar
  • Gesture
  • Simulation


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