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MIG
2009
Springer

Exploiting Motion Capture to Enhance Avoidance Behaviour in Games

13 years 10 months ago
Exploiting Motion Capture to Enhance Avoidance Behaviour in Games
Abstract. 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.
Ben J. H. van Basten, Sander E. M. Jansen, Ioannis
Added 27 May 2010
Updated 27 May 2010
Type Conference
Year 2009
Where MIG
Authors Ben J. H. van Basten, Sander E. M. Jansen, Ioannis Karamouzas
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