PostDoc: Parallel Search Algorithms for Automating the Animation of Human Motion

9704694 Hodgins，Jessica K. 格鲁吉亚理工学院 CISE博士后研究助理在实验CS：并行搜索算法自动化的人体运动动画 (This该奖项支持CES助理南希波拉德。） 人体运动的真实感模拟仍然是一个难以实现的目标。 虽然最近的系统已经展示了动态任务，如跑步，骑自行车，潜水和跳马，但大多数当前系统的一个特定缺陷是它们不能自动适应模拟场景的变化。 这项工作的目标是开发高效的并行算法，以适应生物力学模拟人类运动的任务条件的变化和变化的大小和比例的移动字符。 这项研究将开发缩放定律和搜索程序，以自动适应模拟的一系列情况。 搜索技术将是计算密集型的，由于建模和模拟人体运动的复杂性。 作为解决这种复杂性的一种手段，并行搜索算法将在不同的硬件配置上实现和测试，以深入了解各种架构的有效性，以创建逼真的模拟。 这项研究应有助于低成本的并行架构，将复杂的人体模拟能力广泛提供给动画师和研究人员，从生物力学和人体工程学的教育和娱乐领域的发展必要的数据。

9704694 Hodgins, Jessica K. Georgia Institute of Technology CISE Postdoctoral Research Associates in Experimental CS: Parallel Search Algorithms for Automating the Animation of Human Motion (This award supports CES associate Nancy Pollard.) Realistic simulation of human motion remains an elusive goal. Although recent systems have demonstrated dynamic tasks such as running, cycling, diving, and vaulting, one specific flaw in most current systems is that they cannot automatically adapt to changes in the simulated scenario. The goal of this work is to develop efficient parallel algorithms for adapting biomechanical simulations of human motion to changes in task conditions and to changes in the size and proportions of a moving character. This research will develop scaling laws and search procedures to automate adaptation of simulations to a range of situations. The search techniques will be computationally intensive due to the complexity of modeling and simulating human motion. As one means of addressing this complexity, parallel search algorithms will be implemented and tested on different hardware configurations to gain insight into the effectiveness of various architectures for creating realistic simulations. This research should contribute necessary data for the development of low-cost parallel architectures that will make sophisticated human simulation capabilities widely available to animators and researchers in fields ranging from biomechanics and ergonomics to education and entertainment.