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Predicting ratings of perceived exertion in Australian football players: methods for live estimation Cover

Predicting ratings of perceived exertion in Australian football players: methods for live estimation

International Journal of Computer Science in Sport
Volume 15 (2016): Issue 2 (December 2016)
By: D. L. Carey,  K. Ong,  M. E. Morris,  J. Crow and  K. M. Crossley  
Open Access
|Dec 2016

Authors

D. L. Carey

Australia

K. Ong

Australia

M. E. Morris

Australia

J. Crow

Australia
Australia

K. M. Crossley

Australia
DOI: https://doi.org/10.1515/ijcss-2016-0005 | Journal eISSN: 1684-4769
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Language: English
Page range: 64 - 77
Published on: Dec 17, 2016
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
GPS,
RPE,
machine learning,
training load
Related subjects:
Computer sciences,
Databases and data mining,
Computer sciences, other,
Sports and recreation,
Physical education,
Sports and recreation, other

© 2016 D. L. Carey, K. Ong, M. E. Morris, J. Crow, K. M. Crossley, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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