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Issue No. 03 - July-September (2005 vol. 4)
ISSN: 1536-1268
pp: 33-39
Michael Beetz , Technische Universit?t M?nchen
Martin Lames , Universit?t Augsburg
Bernhard Kirchlechner , Technische Universit?t M?nchen
ABSTRACT
Real-time game analysis systems must be able to automatically recognize intentional activities in a multiagent system with continually acting agents. To meet these demands, the authors developed the Football Interaction and Process Model and a software system that can acquire, interpret, and analyze this model. The system can acquire models of player skills, infer action-selection criteria, and determine player and team strengths and weaknesses. They tested it on the RoboCup simulation league and received promising results.<p>This article is part of a special issue on pervasive computing in sports. </p>
INDEX TERMS
real-time positioning system, learning action models, interpretation of intentional activity
CITATION
Michael Beetz, Martin Lames, Bernhard Kirchlechner, "Computerized Real-Time Analysis of Football Games", IEEE Pervasive Computing, vol. 4, no. , pp. 33-39, July-September 2005, doi:10.1109/MPRV.2005.53
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