Can we distinguish biological motions of virtual humans?: perceptual study with captured motions of weight lifting

  • Authors:
  • Ludovic Hoyet;Franck Multon;Anatole Lecuyer;Taku Komura

  • Affiliations:
  • IRISA - INRIA, Bunraku Team, Rennes;University Rennes;IRISA - INRIA, Bunraku Team, Rennes;University of Edinburgh

  • Venue:
  • Proceedings of the 17th ACM Symposium on Virtual Reality Software and Technology
  • Year:
  • 2010

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Abstract

Perception of biological motions is a key issue in order to evaluate the quality and the credibility of motions of virtual humans. This paper presents a perceptual study to evaluate if human beings are able to accurately distinguish differences in natural lifting motions with various masses in virtual environments (VE), which is not the case. However, they reached very close levels of accuracy when watching to computer animations compared to videos. Still, quotes of participants suggest that the discrimination process is easier in videos of real motions which included muscles contractions, more degrees of freedom, etc. These results can be used to help animators to design efficient physically-based animations.