Smart Generation of Human Motions for Designing Working Spaces

为了从人体工程学的角度评估和检验设施环境的效率和舒适性，本项目开发了一种准确的人体运动和行为的模拟和动画机制。人体运动的模拟往往需要针对不同的运动捕捉过程条件来预测生成运动。我们利用地质统计学中提出的一种称为克立格法的精确预测方法，通过运动样本的内插建立了运动合成机制，并通过客观分析证明了该方法在预测精度方面优于基于径向基函数的方法。运动数据的智能生成需要从海量的运动数据集中充分选择运动片段，通过将运动数据集中具有代表性的姿态图标分布到二维显示器上，开发了用于运动数据检索的图形用户界面；作为人类行为预测机制的一部分，我们基于城市工程或认知心理学中发现的知识或信息，开发了步行行为模拟。基于上述技术，本项目从X3D给出的估算工作时间和设施数据的程序手册出发，开发了基于Web3D可视化工具的运动序列仿真中间件。

This project developed an accurate simulation and animation mechanisms of human motions and behaviors for estimating and inspecting the efficiency and comfortableness of facilities environment from the viewpoint of human engineering.Simulations of human motions often require the predictive generation of motions for the different conditions of motion capture session. We have developed the motion synthesis mechanism through the interpolations of motion samples by using an accurate prediction method called kriging, which was propose in geostatistics, and have demonstrated its superiority in prediction accuracy over the method based on the radial basis functions with an objective analysis. We also demonstrated the effectiveness of this method for predicting human foot prints avoiding obstacles.Smart generation of motion data requires to adequately select motion clips from huge amount of motion data sets, and we therefore have developed the graphical user interface for motion data retrieval by distributing representative posture icons included in motion data sets onto a two dimensional display.As a part of prediction mechanism of human behaviors, we have developed the simulation of walking behaviors on the basis of the knowledge or the information discovered in urban engineering or cognitive psychology. This simulation can well-approximate the flow of human walking for various spatial densities of walkers in a macro level, and can generate plausible collision avoiding behaviors reflecting psychological features in a micro level.Based on the above mentioned technologies, this project has developed the middleware for simulating a sequence of motions with visualization tools of Web3D, from the procedural manual for estimating working time and facilities data given with X3D.