Authors:
D. Vallejo
;
G. Alises
;
J. A. Albusac
;
C. Glez-Morcillo
and
J. J. Castro-Schez
Affiliation:
University of Castilla-La Mancha, Spain
Keyword(s):
Football, Event Understanding, Expert Systems, Fuzzy Logic, Team Sports.
Related
Ontology
Subjects/Areas/Topics:
Computer Supported Training
;
Computer Systems in Sports
;
Sport Science Research and Technology
;
Sport Statistics and Analyses
Abstract:
In recent years technology has been used as an engine to improve the performance of the players and the
preparation offered by trainers in a great variety of sports. In some of them, such as football, technology has
contributed enormously to improving monitoring of players so as to assess their performance and to prepare
tactics and strategies that are so essential nowadays for making the difference, before facing a match. In this
paper we present SIDANE, an expert system capable of detecting important situations in football, from a
tactics point of view and assessing if the players involved took a good decision from the point of view of the
trainer. The SIDANE reasoning engine uses Fuzzy Logic with the aim of tackling uncertainty and facilitating
the definition of rules close to the way in which the trainer communicates with his or her players. In this
way the distance between expert and machine is greatly narrowed. The results yielded show how powerful
SIDANE is as a starting point
for the automatic analysis of important situations in team sports.
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