Exploiting Motion Capture to Enhance Avoidance Behaviour in Games
Exploiting Motion Capture to Enhance Avoidance Behaviour in Games
复制标题
利用动作捕捉来增强游戏中的回避行为
DOI：
10.1007/978-3-642-10347-6_3
复制
发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Ioannis Karamouzas
中科院分区：
文献类型：
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作者：
B. V. Basten;Sander E. M. Jansen;Ioannis Karamouzas
交互虚拟角色的真实模拟在计算机游戏、培训和模拟应用中至关重要。这个问题非常具有挑战性，因为人们已经习惯了现实世界的情况，因此他们可以轻松地检测到模拟中的不一致和伪影。在过去的二十年里，人们提出了几种模型来模拟个人、群体和人物群体。然而，人们很少努力去真正理解人类如何解决现实生活中的交互并避免相互碰撞。在本文中，我们利用动作捕捉数据来更深入地了解人与人之间的互动。我们提出了四种措施来描述避免碰撞行为。基于这些措施，我们提取了可以应用于现有代理和基于力的方法之上的简单规则，从而提高了结果模拟的真实性。
Realistic simulation of interacting virtual characters is essential in computer games, training and simulation applications. The problem is very challenging since people are accustomed to real-world situations and thus, they can easily detect inconsistencies and artifacts in the simulations. Over the past twenty years several models have been proposed for simulating individuals, groups and crowds of characters. However, little effort has been made to actually understand how humans solve interactions and avoid inter-collisions in real-life. In this paper, we exploit motion capture data to gain more insights into human-human interactions. We propose four measures to describe the collision-avoidance behavior. Based on these measures, we extract simple rules that can be applied on top of existing agent and force based approaches, increasing the realism of the resulting simulations.