TY - GEN
T1 - Exploiting motion capture to enhance avoidance behaviour in games
AU - Van Basten, Ben J.H.
AU - Jansen, Sander E.M.
AU - Karamouzas, Ioannis
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Collision avoidance
KW - Human-human interaction
KW - Motion analysis
KW - Motion capture
UR - http://www.scopus.com/inward/record.url?scp=78650705800&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650705800&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-10347-6_3
DO - 10.1007/978-3-642-10347-6_3
M3 - Conference contribution
AN - SCOPUS:78650705800
SN - 3642103464
SN - 9783642103469
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 29
EP - 40
BT - Motion in Games - Second International Workshop, MIG 2009, Proceedings
T2 - 2nd International Workshop on Motion in Games, MIG 2009
Y2 - 21 November 2009 through 24 November 2009
ER -
