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. © Springer-Verlag 2009.
Cite
CITATION STYLE
Zhang, Y., Pettré, J., Peng, Q., & Donikian, S. (2009). Data based steering of virtual human using a velocity-space approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5884 LNCS, pp. 170–181). https://doi.org/10.1007/978-3-642-10347-6_16
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
