Abstract
This paper presents a method of how to simulate various human actions. Actions are formed in the Action Hierarchy, and are reified in terms of expanding the hierarchy. While inheritance, super classes provide overall information of actions, and sub classes are used as the actual functions of actions. Primitive actions as leaves of the action hierarchy are proposed for an atomic action to be shared in several actions, and used as key frame. The Action Generator guarantees to return accurate primitive actions to an agent based on the Action Library and the Action Hierarchy, and also provides individual patterns of actions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Maurel, W., Thalmann, D.: A Case Study on Human Upper Limb Modelling for Dynamic Simulation. Computer Methods in Biomechanics and Biomechanical Engineering 24(2), 203–1158 (1999)
Luh, G.-C., Cheng, C.W.C.: Behavior-based intelligent mobile robot using an immunized reinforcement adaptive learning mechanism. Advanced Engineering Informatics 16, 85–98 (2001)
Pettre, J., Simeon, T., Laumond, J.P.: Planning human walk in virtual environments, IEEE/RSJ International Conference on, vol. 3, pp. 3048–3053 (2002)
Park, J.H.: Activities as the Dynamic Component of Situations, Technical Report, AIMM Lab (2007)
Lee, I.K., Park, J.H.: Representation of ‘Walk’ for Quadruped Animal Based on Primitive Action and Class Inherit. Journal of the Korea Contents Society 6(5), 85–95 (2006)
Zheng, G., Li, W., Ogunbona, P., Dong, L., Kharitonenko, I.: Simulation of Human Motion for Learning and Recognition. In: Sattar, A., Kang, B.-h. (eds.) AI 2006. LNCS, vol. 4304, pp. 1168–1172. Springer, Heidelberg (2006)
Lee, J.H., Park, J.H.: Modelling Different Patterns of Human Walking based on Individual Properties. In: Proceeding of Applied Simulation and Modelling. ACAT Press (2008)
Russell, S., Norvig, P.: Artificial Intelligence, A Modern Approach. Prentice-Hall, Englewood Cliffs (2003)
de Sevin, E., Thalmann, D.: A Motivational Model of Action Selection for Virtual Humans, Computer Graphics International (2005)
Ji, S.J.: A Knowledge Model for Simulating Human-like Behavior of virtual Inhabitant, The Graduate School of Kyungpook National University (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lee, JH., Jung, GJ., Park, JH. (2009). Action Generator Based on Primitive Actions and Individual Properties. In: Håkansson, A., Nguyen, N.T., Hartung, R.L., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2009. Lecture Notes in Computer Science(), vol 5559. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01665-3_85
Download citation
DOI: https://doi.org/10.1007/978-3-642-01665-3_85
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01664-6
Online ISBN: 978-3-642-01665-3
eBook Packages: Computer ScienceComputer Science (R0)