Automation of Basketball Match Data Management

Despite the fact that sport plays a substantial role in people’s lives, funding varies significantly from one discipline to another. For example, in Poland, women’s basketball in the lower divisions, is primarily developing thanks to enthusiasts. The aim of the work was to design and implement a sys...

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Autores principales:	Łukasz Chomątek, Kinga Sierakowska
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	tabular data number recognition basketball protocol machine learning requirements engineering Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/c7d0ebf8b89d4a5ebb694c2efa7da765
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spelling	oai:doaj.org-article:c7d0ebf8b89d4a5ebb694c2efa7da7652021-11-25T17:58:33ZAutomation of Basketball Match Data Management10.3390/info121104612078-2489https://doaj.org/article/c7d0ebf8b89d4a5ebb694c2efa7da7652021-11-01T00:00:00Zhttps://www.mdpi.com/2078-2489/12/11/461https://doaj.org/toc/2078-2489Despite the fact that sport plays a substantial role in people’s lives, funding varies significantly from one discipline to another. For example, in Poland, women’s basketball in the lower divisions, is primarily developing thanks to enthusiasts. The aim of the work was to design and implement a system for analyzing match protocols containing data about the match. Particular attention was devoted to the course of the game, i.e., the order of scoring points. This type of data is not typically stored on the official websites of basketball associations but is significant from the point of view of coaches. The obtained data can be utilized to analyze the team’s game during the season, the quality of players, etc. In terms of obtaining data from match protocols, a dedicated algorithm for identifying the table was used, while a neural network was utilized to recognize the numbers (with 70% accuracy). The conducted research has shown the proposed system is well suited for data acquisition based on match protocols what implies the possibility of increasing the availability of data on the games. This will allow the development of this sport discipline. Obtained conclusions can be generalized to other disciplines, where the games are recorded in paper form.Łukasz ChomątekKinga SierakowskaMDPI AGarticletabular datanumber recognitionbasketball protocolmachine learningrequirements engineeringInformation technologyT58.5-58.64ENInformation, Vol 12, Iss 461, p 461 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	tabular data number recognition basketball protocol machine learning requirements engineering Information technology T58.5-58.64
spellingShingle	tabular data number recognition basketball protocol machine learning requirements engineering Information technology T58.5-58.64 Łukasz Chomątek Kinga Sierakowska Automation of Basketball Match Data Management
description	Despite the fact that sport plays a substantial role in people’s lives, funding varies significantly from one discipline to another. For example, in Poland, women’s basketball in the lower divisions, is primarily developing thanks to enthusiasts. The aim of the work was to design and implement a system for analyzing match protocols containing data about the match. Particular attention was devoted to the course of the game, i.e., the order of scoring points. This type of data is not typically stored on the official websites of basketball associations but is significant from the point of view of coaches. The obtained data can be utilized to analyze the team’s game during the season, the quality of players, etc. In terms of obtaining data from match protocols, a dedicated algorithm for identifying the table was used, while a neural network was utilized to recognize the numbers (with 70% accuracy). The conducted research has shown the proposed system is well suited for data acquisition based on match protocols what implies the possibility of increasing the availability of data on the games. This will allow the development of this sport discipline. Obtained conclusions can be generalized to other disciplines, where the games are recorded in paper form.
format	article
author	Łukasz Chomątek Kinga Sierakowska
author_facet	Łukasz Chomątek Kinga Sierakowska
author_sort	Łukasz Chomątek
title	Automation of Basketball Match Data Management
title_short	Automation of Basketball Match Data Management
title_full	Automation of Basketball Match Data Management
title_fullStr	Automation of Basketball Match Data Management
title_full_unstemmed	Automation of Basketball Match Data Management
title_sort	automation of basketball match data management
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c7d0ebf8b89d4a5ebb694c2efa7da765
work_keys_str_mv	AT łukaszchomatek automationofbasketballmatchdatamanagement AT kingasierakowska automationofbasketballmatchdatamanagement
_version_	1718411769284657152

Automation of Basketball Match Data Management

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