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International Journal of Computer Science in Sport
Volume 15 (2016): Issue 2 (December 2016)
Open Access
Predicting ratings of perceived exertion in Australian football players: methods for live estimation
D. L. Carey
D. L. Carey
,
K. Ong
K. Ong
,
M. E. Morris
M. E. Morris
,
J. Crow
J. Crow
and
K. M. Crossley
K. M. Crossley
| Dec 17, 2016
International Journal of Computer Science in Sport
Volume 15 (2016): Issue 2 (December 2016)
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Published Online:
Dec 17, 2016
Page range:
64 - 77
DOI:
https://doi.org/10.1515/ijcss-2016-0005
Keywords
GPS
,
RPE
,
machine learning
,
training load
© 2016
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
D. L. Carey
La Trobe Sport and Exercise Medicine Research Centre, College of Science, Health and Engineering, La Trobe University, Melbourne,
Australia
K. Ong
SAS Analytics Innovation Lab, La Trobe Business School, La Trobe University, Melbourne,
Australia
M. E. Morris
La Trobe Sport and Exercise Medicine Research Centre, College of Science, Health and Engineering, La Trobe University, Melbourne,
Australia
J. Crow
Essendon Football Club, Melbourne, Australia
Australia
La Trobe Sport and Exercise Medicine Research Centre, College of Science, Health and Engineering, La Trobe University, Melbourne,
Australia
K. M. Crossley
La Trobe Sport and Exercise Medicine Research Centre, College of Science, Health and Engineering, La Trobe University, Melbourne,
Australia