Data Based Steering of Virtual Human Using a Velocity-Space Approach

Authors:
Yijiang Zhang;Julien Pettré;Qunsheng Peng;Stéphane Donikian
Affiliations:
Bunraku team, INRIA Rennes - Bretagne Atlantique, Rennes, France 35042 and CAD&CG Lab, Zhejiang University, Hangzhou, China;Bunraku team, INRIA Rennes - Bretagne Atlantique, Rennes, France 35042;CAD&CG Lab, Zhejiang University, Hangzhou, China;Bunraku team, INRIA Rennes - Bretagne Atlantique, Rennes, France 35042
Venue:
MIG '09 Proceedings of the 2nd International Workshop on Motion in Games
Year:
2009

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Abstract

In this paper, we analyze the habits of human walk. By plotting and studying some real experimental motion-captured data, we estimate 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 procession 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.