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Human Motion Modeling and Simulation by Anatomical Approach

机译:人体运动建模与仿真的解剖学方法

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摘要

To instantly generate desired infinite realistic human motion is still a great challenge in virtual human simulation. In this paper, the novel emotion effected motion classification and anatomical motion classification are presented, as well as motion capture and parameterization methods. The framework for a novel anatomical approach to model human motion in a HTR (Hierarchical Translations and Rotations) file format is also described. This novel anatomical approach in human motion modelling has the potential to generate desired infinite human motion from a compact motion database. An architecture for the real-time generation of new motions is also proposed.
机译:在虚拟人体仿真中,即时生成所需的无限逼真的人体运动仍然是一个巨大的挑战。本文提出了新颖的情感影响运动分类和解剖学运动分类,以及运动捕捉和参数化方法。还描述了一种新颖的解剖方法,以HTR(分层平移和旋转)文件格式为人体运动建模的框架。人体运动建模中的这种新颖的解剖方法具有从紧凑的运动数据库生成所需的无限人体运动的潜力。还提出了一种用于实时产生新动作的架构。

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