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Authors: João Portela 1 ; Pedro Abreu 1 ; Luís Paulo Reis 1 ; Eugénio Oliveira 1 and Julio Garganta 2

Affiliations: 1 FEUP-Faculty of Engineering of Porto University, Portugal ; 2 Faculty of Sport of Porto University, Portugal

ISBN: 978-989-8425-05-8

Keyword(s): Soccer performance assessment, Temporal sequential analysis, Robotic soccer.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Coordination in Multi-Agent Systems ; Data Engineering ; Enterprise Information Systems ; Health Information Systems ; Informatics in Control, Automation and Robotics ; Information Systems Analysis and Specification ; Intelligent Agents ; Intelligent Control Systems and Optimization ; Internet Technology ; Knowledge Engineering ; Knowledge Engineering and Ontology Development ; Knowledge Management ; Knowledge-Based Systems ; Knowledge-Based Systems Applications ; Ontologies and the Semantic Web ; Society, e-Business and e-Government ; Software Engineering ; Symbolic Systems ; Web Information Systems and Technologies

Abstract: In soccer, the level of performance is determined by a number of a complex variables interrelated: technique, tactics, psychological factors and finally, fitness. Because of this, analyzing this information in a real-time, even for soccer experts like professional coaches has become an impossible task. Automatic event detection tools occupy an important role in this reality, although nowadays there isn’t any tool capable of producing information capable of helping a professional coach choosing his team strategy for a specific game. In this research project an automatic event detection tool is purposed and, a set of game statistics defined by a group of sports researchers. All the teams present in the 2009 RoboCup tournament have a pass success rate superior to 65%. These statistics provide an interesting viewpoint on how to evaluate a team performance, such as the importance of dominating the opposing team field without losing the control of our own (this can be seen on the top 3 zone dominance statistics). In the future this project will serve as a base for building a Framework capable of simulating a match between two heterogeneous soccer teams and produce reliable information for optimizing the team performance. (More)

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Paper citation in several formats:
Portela J.; Abreu P.; Reis L.; Oliveira E.; Garganta J. and (2010). AN INTELLIGENT FRAMEWORK FOR AUTOMATIC EVENT DETECTION IN ROBOTIC SOCCER GAMES - An Auxiliar Tool to Help Coaches Improve their Teams’ Performance.In Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 5: ICEIS, ISBN 978-989-8425-05-8, pages 244-249. DOI: 10.5220/0002900202440249

@conference{iceis10,
author={João Portela and Pedro Abreu and Luís Paulo Reis and Eugénio Oliveira and Julio Garganta},
title={AN INTELLIGENT FRAMEWORK FOR AUTOMATIC EVENT DETECTION IN ROBOTIC SOCCER GAMES - An Auxiliar Tool to Help Coaches Improve their Teams’ Performance},
booktitle={Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 5: ICEIS,},
year={2010},
pages={244-249},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002900202440249},
isbn={978-989-8425-05-8},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 5: ICEIS,
TI - AN INTELLIGENT FRAMEWORK FOR AUTOMATIC EVENT DETECTION IN ROBOTIC SOCCER GAMES - An Auxiliar Tool to Help Coaches Improve their Teams’ Performance
SN - 978-989-8425-05-8
AU - Portela, J.
AU - Abreu, P.
AU - Reis, L.
AU - Oliveira, E.
AU - Garganta, J.
PY - 2010
SP - 244
EP - 249
DO - 10.5220/0002900202440249

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