Article

Visual analysis of time-motion in basketball games

Authors:

Roberto Therón,

Laura CasaresAuthors Info & Claims

SG'10: Proceedings of the 10th international conference on Smart graphics

Pages 196 - 207

Published: 24 June 2010 Publication History

Abstract

This work aims to facilitate the task of basketball coaches, by means of the visualization and analysis of the players' movements in the court. This is possible thanks to the use of Global Positioning System (GPS) devices that generate data of the position of the player, almost in real time. The main objective of our proposal consists on the tracking, both statistics and kinematics, of a basketball player due to the physical activity developed during a match. The comparison of the data from several players or between two teams also will improve the performance and tactical capacity of players and trainers.

On one hand, the study of time-motion in sports is largely covered in the literature. On the other hand, the use of personal GPS devices for training purposes is a common practice. However, the design of interactive visualization tools that exploit the data stored in GPS devices during a match, thus enabling to perform its visual analysis, is still an open area. The work presented in this paper identifies the relevant aspects of the basketball game that are valuable for a coach in terms of team and individual performance analysis, and discusses the design and implementation of a tool that exploits the methods and techniques of a visual analytics approach.

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Cited By

Piazentin Ono JGjoka ASalamon JDietrich CSilva CBrewster SFitzpatrick GCox AKostakos V(2019)HistoryTrackerProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300293(1-12)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300293
Hölzemann AVan Laerhoven K(2018)Using Wrist-Worn Activity Recognition for Basketball Game AnalysisProceedings of the 5th International Workshop on Sensor-based Activity Recognition and Interaction10.1145/3266157.3266217(1-6)Online publication date: 20-Sep-2018
https://dl.acm.org/doi/10.1145/3266157.3266217
Pecev PRacković MIvković M(2016)A system for deductive prediction and analysis of movement of basketball refereesMultimedia Tools and Applications10.1007/s11042-015-2938-175:23(16389-16416)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1007/s11042-015-2938-1
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Information & Contributors

Information

Published In

cover image ACM Other conferences

SG'10: Proceedings of the 10th international conference on Smart graphics

June 2010

290 pages

ISBN:3642135439

Editors:
Robyn Taylor
University of Alberta, Advanced Man-Machine Interface Laboratory, Department of Computing Science, Edmonton, Alberta, Canada
,
Pierre Boulanger
University of Alberta, Advanced Man-Machine Interface Laboratory, Department of Computing Science, Edmonton, Alberta, Canada
,
Antonio Krüger
German Research Center for Artificial Intelligence, Saarbrücken, Germany
,
Patrick Olivier
University of Newcastle upon Tyne, School of Computing Science, Culture Lab, Newcastle upon Tyne, United Kingdom

Sponsors

Banff New Media Institute
University of Alberta: University of Alberta

In-Cooperation

SIGAI: ACM Special Interest Group on Artificial Intelligence
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
AAAI: American Association for Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
EUROGRAPHICS: The European Association for Computer Graphics

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 24 June 2010

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Cited By

Piazentin Ono JGjoka ASalamon JDietrich CSilva CBrewster SFitzpatrick GCox AKostakos V(2019)HistoryTrackerProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300293(1-12)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300293
Hölzemann AVan Laerhoven K(2018)Using Wrist-Worn Activity Recognition for Basketball Game AnalysisProceedings of the 5th International Workshop on Sensor-based Activity Recognition and Interaction10.1145/3266157.3266217(1-6)Online publication date: 20-Sep-2018
https://dl.acm.org/doi/10.1145/3266157.3266217
Pecev PRacković MIvković M(2016)A system for deductive prediction and analysis of movement of basketball refereesMultimedia Tools and Applications10.1007/s11042-015-2938-175:23(16389-16416)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1007/s11042-015-2938-1
Ivankovic ZRackovic MIvkovic M(2014)Automatic player position detection in basketball gamesMultimedia Tools and Applications10.1007/s11042-013-1580-z72:3(2741-2767)Online publication date: 1-Oct-2014
https://dl.acm.org/doi/10.1007/s11042-013-1580-z

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