Data based steering of virtual human using a velocity-space approach

Yijiang Zhang 1, 2 Julien Pettré 1 Qunsheng Peng 2 Stéphane Donikian 1
1 BUNRAKU - Perception, decision and action of real and virtual humans in virtual environments and impact on real environments
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, ENS Cachan - École normale supérieure - Cachan, Inria Rennes – Bretagne Atlantique
Abstract : In this paper, we analyze the habits of human walk. By plot- ting and studying some real experimental motion-captured data, we es- timate the bounds of the velocity and acceleration of the pedestrian and achieve the admissible motion set. We introduce the velocity-space which means the set of the whole admissible velocities for one step in the pro- cession of human walk. In addition, a model describing the dependence of the next movement on the previous one is designed. It provides an interior constraint for pedestrian in steering model. With two examples, we show the adaptability and efficiency of the model.
Document type :
Conference papers
Complete list of metadatas

https://hal.inria.fr/inria-00473301
Contributor : Julien Pettré <>
Submitted on : Thursday, April 15, 2010 - 10:03:50 AM
Last modification on : Friday, November 16, 2018 - 1:28:20 AM

Identifiers

  • HAL Id : inria-00473301, version 1

Citation

Yijiang Zhang, Julien Pettré, Qunsheng Peng, Stéphane Donikian. Data based steering of virtual human using a velocity-space approach. Motion in Games 2009, 2009, Utrecht, Netherlands. ⟨inria-00473301⟩

Share

Metrics

Record views

330