Data Based Steering of Virtual Human Using a Velocity-Space Approach
Yijiang Zhang, Julien Pettré, Qunsheng Peng, Stéphane Donikian
Motion in Games, November 2009, pp. 170--181.
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.
@incollection{Zhang:2009:DBS,
author = {Yijiang Zhang and Julien Pettré and Qunsheng Peng and Stéphane Donikian},
title = {Data Based Steering of Virtual Human Using a Velocity-Space Approach},
booktitle = {Motion in Games},
pages = {170--181},
month = nov,
year = {2009},
}
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