Connor, Mark Faganan, David Watters, Barry McCaffery, Fergal O’Neill, Michael
Published in
International Journal of Computer Science in Sport
This research introduces a new novel method for mathematically optimizing team sport training models to enhance two measures of athletic performance using an evolutionary computation based approach. A common training load model, consisting of daily training load prescriptions, was optimized using an evolutionary multi-objective algorithm to produce...
Fahey-Gilmour, J. Heasman, J. Rogalski, B. Dawson, B. Peeling, P.
Published in
International Journal of Computer Science in Sport
In elite Australian football (AF) many studies have investigated individual player performance using a variety of outcomes (e.g. team selection, game running, game rating etc.), however, none have attempted to predict a player’s performance using combinations of pre-game factors. Therefore, our aim was to investigate the ability of commonly reporte...
Maneiro, R Amatria, M Anguera, MT
Published in
International Journal of Computer Science in Sport
The purpose of this study is to analyse the interactions established by Gerard Piqué, one of the world’s top defenders, within the general context of the team. The type of interactions (prospective and retrospective) that the player establishes with his team mates and opponents; the parts of the pitch where his actions are set in motion and later f...
Beal, Ryan Norman, Timothy J. Ramchurn, Sarvapali D.
Published in
International Journal of Computer Science in Sport
This paper outlines a novel approach to optimising teams for Daily Fantasy Sports (DFS) contests. To this end, we propose a number of new models and algorithms to solve the team formation problems posed by DFS. Specifically, we focus on the National Football League (NFL) and predict the performance of real-world players to form the optimal fantasy ...
Beal, Ryan Norman, Timothy J. Ramchurn, Sarvapali D.
Published in
International Journal of Computer Science in Sport
In this paper, we critically evaluate the performance of nine machine learning classification techniques when applied to the match outcome prediction problem presented by American Football. Specifically, we implement and test nine techniques using real-world datasets of 1280 games over 5 seasons from the National Football League (NFL). We test the ...
Nagy, G. Komka, Zs. Szathmáry, G. Katona, P. Gannoruwa, L. Erdős, G. Tarjányi, P. Tóth, M. Krepuska, M. Grand, L.
...
Published in
International Journal of Computer Science in Sport
Artificial Intelligence (AI) invades fields where sophisticated analytics has not been applied before. Modality refers to how something happens or is experienced. Multimodal datasets are beneficial for solving complex research problems with AI methods. Kayaking technique optimization has been challenging, as there seems to be no gold standard for e...
Smith, P.D. Bedford, A.
Published in
International Journal of Computer Science in Sport
In team sport Human Activity Recognition (HAR) using inertial measurement units (IMUs) has been limited to athletes performing a set routine in a controlled environment, or identifying a high intensity event within periods of relatively low work load. The purpose of this study was to automatically classify locomotion in an elite sports match where ...
Schelling, Xavier Robertson, Sam
Published in
International Journal of Computer Science in Sport
Decision making in sport involves forecasting and selecting choices from different options of action, care, or management. These processes are conditioned by the available information (sometimes limited, fallible, or excessive), the cognitive limitations of the decision-maker (heuristics and biases), the finite amount of available time to make the ...
Blobel, Thomas Lames, Martin
Published in
International Journal of Computer Science in Sport
In professional sports clubs, the growing number of individual IT-systems increases the need for central information systems. Various solutions from different suppliers lead to a fragmented situation in sports. Therefore, a standardized and independent general concept for a club information systems (CIS) is necessary. Due to the different areas inv...
Ross, Cameron Lambs, Peter McAlpine, Paul Kennedy, Gavin Button, Chris
Published in
International Journal of Computer Science in Sport
Wearable sensors that can be used to measure human performance outcomes are becoming increasingly popular within sport science research. Validation of these sensors is vital to ensure accuracy of extracted data. The aim of this study was to establish the validity and reliability of gyroscope sensors contained within three different inertial measure...
