Brady, Aidan J. ORCID: 0000-0002-9427-5771 (2023) Application of global positioning system technology and machine learning to characterise the activity profile of elite Gaelic football referees. PhD thesis, Dublin City University.
Abstract
Gaelic football is officiated by a referee whose decisions can influence the outcome of the game. To ensure optimal positioning for decision making, Gaelic football referees (GFR) must keep up with play at all times which poses a considerable physical challenge. Currently no data are available on the activity profile of GFR during match play.
Study 1 applied a two-stage unsupervised clustering technique to activity data to generate a set of unique movement category velocity thresholds for elite GFR. The activity data were collected during 338 All-Ireland Championship (AIC) and National Football League (NFL) games using 10 Hz global positioning system technology. The newly generated thresholds were more strongly associated with the raw velocity data and resulted in a significant difference in the distribution of the total distance in comparison to arbitrary thresholds.
Study 2 and Study 3 examined the activity profile and temporal changes of elite GFR during 206 AIC and 132 NFL games, respectively, using the newly generated movement categories. During both AIC and NFL games, the relative distance and the distance covered in each movement category, except very high-speed running, was significantly different between halves. The first quarter was the most intense period of the game with a significantly greater relative and high-speed running (HSR) distance compared to any other quarter of match play. There were minimal differences in the activity profile between the three phases of the AIC and the four divisions of the NFL.
Study 4 compared the activity profile of elite GFR between the NFL and AIC, and examined the influence of age, experience, and aerobic fitness on the activity profile during both competitions. Games in the AIC were significantly longer in duration but minimal difference was found in the activity profile between NFL and AIC games. Relative and HSR distance during AIC games was influenced by aerobic fitness level. Age and experience level did not influence the activity profile during NFL or AIC games.
In summary, this research generated a unique set of velocity-based movement categories that are specific to elite GFR. These categories facilitated the detailed characterisation of the activity profile of elite GFR during both NFL and AIC games. It is envisaged that this information will assist in the design of sport specific conditioning programmes for elite GFR.
Metadata
Item Type: | Thesis (PhD) |
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Date of Award: | March 2023 |
Refereed: | No |
Supervisor(s): | Moyna, Niall and McCarren, Andrew |
Subjects: | Medical Sciences > Performance Medical Sciences > Physiology Medical Sciences > Sports sciences |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Science and Health > School of Health and Human Performance |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 License. View License |
Funders: | Irish Research Council, Gaelic Athletic Association |
ID Code: | 27306 |
Deposited On: | 17 Nov 2022 14:33 by Niall Moyna . Last Modified 12 Feb 2024 12:06 |
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