Development of a kayak race prediction including environmental and athlete effects
Development of a kayak race prediction including environmental and athlete effects
The aim of this study is to produce a simulator for sprint kayak racing which would allow the prediction of race times based on the physiological capabilities and mass of a given athlete. The simulator has been verified using established empirical data for the prediction of environmental effects and has been shown to be accurate, however verification of the physiological model is difficult to do by using general race data. An investigation into the fatigue model which has been implemented shows that further investigation is required to calibrate the simulator and produce more accurate results over a variety of distances. However, the simulator does show quite how sensitive the selection of appropriate level of effort is to the final race time for the 1000m.
simulation, sprint kayak, race-time prediction
305-310
Higgens, Adam
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Conway, Lauren
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Banks, Joseph
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Taunton, Dominic
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Hudson, Dominic
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Turnock, Stephen
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Higgens, Adam
1b1a4c53-1faa-403a-a021-5383a2907dec
Conway, Lauren
d93bf7ca-ffa3-4ca4-bb69-2510355af89f
Banks, Joseph
3e915107-6d17-4097-8e77-99c40c8c053d
Taunton, Dominic
10bfbe83-c4c2-49c6-94c0-2de8098c648c
Hudson, Dominic
3814e08b-1993-4e78-b5a4-2598c40af8e7
Turnock, Stephen
d6442f5c-d9af-4fdb-8406-7c79a92b26ce
Higgens, Adam, Conway, Lauren, Banks, Joseph, Taunton, Dominic, Hudson, Dominic and Turnock, Stephen
(2016)
Development of a kayak race prediction including environmental and athlete effects.
[in special issue: The Engineering of SPORT 11]
Procedia Engineering, 147, .
(doi:10.1016/j.proeng.2016.06.296).
Abstract
The aim of this study is to produce a simulator for sprint kayak racing which would allow the prediction of race times based on the physiological capabilities and mass of a given athlete. The simulator has been verified using established empirical data for the prediction of environmental effects and has been shown to be accurate, however verification of the physiological model is difficult to do by using general race data. An investigation into the fatigue model which has been implemented shows that further investigation is required to calibrate the simulator and produce more accurate results over a variety of distances. However, the simulator does show quite how sensitive the selection of appropriate level of effort is to the final race time for the 1000m.
Text
Development-of-a-Kayak-Race-Prediction-Including-Environmental-and-Athlete-Effects_2016_Procedia-Engineering.pdf
- Version of Record
More information
Accepted/In Press date: 1 May 2016
e-pub ahead of print date: 9 July 2016
Keywords:
simulation, sprint kayak, race-time prediction
Organisations:
Fluid Structure Interactions Group
Identifiers
Local EPrints ID: 398228
URI: http://eprints.soton.ac.uk/id/eprint/398228
PURE UUID: 4edf7868-ed0a-461c-a824-c1b1ac56ac9a
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Date deposited: 21 Jul 2016 10:39
Last modified: 15 Mar 2024 03:36
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Contributors
Author:
Adam Higgens
Author:
Lauren Conway
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