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  • Application of GPS devices to longitudinal analysis on game and training data

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    78909_1.pdf (896.1Kb)
    Author(s)
    Neville, Jono
    Rowlands, David
    Wixted, Andrew
    James, Daniel
    Griffith University Author(s)
    Rowlands, David D.
    James, Daniel A.
    Wixted, Andrew J.
    Neville, Jono G.
    Year published
    2012
    Metadata
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    Abstract
    In elite level team sport, the application of longitudinal data analysis is often overlooked due to the tools and techniques required for processing large quantities of data. The research presented in this paper explores the information available to coaches and players when looking at data taken from an entire first grade Australian Rules Football team for a full non-premiership season. Specifically this paper explores the relationship between training and game demand on an individual level as well as exploring the relative demand on different player field positions. The hardware used in this research was the GPSports SPI ...
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    In elite level team sport, the application of longitudinal data analysis is often overlooked due to the tools and techniques required for processing large quantities of data. The research presented in this paper explores the information available to coaches and players when looking at data taken from an entire first grade Australian Rules Football team for a full non-premiership season. Specifically this paper explores the relationship between training and game demand on an individual level as well as exploring the relative demand on different player field positions. The hardware used in this research was the GPSports SPI Inertial tracking unit. This device contained a GPS unit tracking at 5 Hz providing the latitudinal and longitudinal position of the players. This GPS information was then extracted in order to reconstruct the speeds of the athlete throughout a game. This research found strong correlations between the overall intensities of the training sessions and the physical demand of first grade games. It also identified small differences in the demand of different on field positions.
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    Journal Title
    Procedia Engineering
    Volume
    34
    DOI
    https://doi.org/10.1016/j.proeng.2012.04.076
    Copyright Statement
    © 2012 The Authors. Published by Elsevier Ltd. Open access under the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) License which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited. You may not alter, transform, or build upon this work.
    Subject
    Biomechanical Engineering
    Engineering
    Publication URI
    http://hdl.handle.net/10072/47169
    Collection
    • Journal articles

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