Abstract
This paper presents a set of technologies to generate human animations based on captured motion data. Firstly, original coarse motion data need to be normalized as standard data set. Secondly, spatial and temporal characteristics of human locomotion are calculated according to experience equations, anthropometric statistics data and user-defined interface parameters. Trajectory of human's root site is scaled and rotated to fit real walking distance and direction. Then, a simulation structure based on place/transition Petri Net is designed and conducted to start, run, pause and end simulation loop. During the update phase of the loop, position and posture of virtual figure in each frame are generated through interpolating from scaled motion data. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Lu, X., Li, Y., He, H., & Ling, Y. (2006). Research and implement of virtual human’s walking model in maintenance simulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3942 LNCS, pp. 1027–1036). Springer Verlag. https://doi.org/10.1007/11736639_125
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