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Journals
International Journal of Computer Science in Sport
Volume 16 (2017): Issue 2 (November 2017)
Open Access
Performance Estimation using the Fitness-Fatigue Model with Kalman Filter Feedback
D. Kolossa
D. Kolossa
Faculty of Electrical Engineering and Information Technology, Ruhr-University Bochum,
Bochum, Germany
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Kolossa, D.
,
M.A. Bin Azhar
M.A. Bin Azhar
Faculty of Electrical Engineering and Information Technology, Ruhr-University Bochum,
Bochum, Germany
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Bin Azhar, M.A.
,
C. Rasche
C. Rasche
Department of Theory and Practical Performance in Sports, Johannes Gutenberg-University Mainz,
Mainz, Germany
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Rasche, C.
,
S. Endler
S. Endler
Department of Theory and Practical Performance in Sports, Johannes Gutenberg-University Mainz,
Mainz, Germany
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Endler, S.
,
F. Hanakam
F. Hanakam
Faculty of Sport Science, Ruhr-University Bochum,
Bochum, Germany
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Hanakam, F.
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A. Ferrauti
A. Ferrauti
Faculty of Sport Science, Ruhr-University Bochum,
Bochum, Germany
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Ferrauti, A.
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M. Pfeiffer
M. Pfeiffer
Department of Theory and Practical Performance in Sports, Johannes Gutenberg-University Mainz,
Mainz, Germany
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Pfeiffer, M.
Nov 30, 2017
International Journal of Computer Science in Sport
Volume 16 (2017): Issue 2 (November 2017)
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Article Category:
Special Issue on Modeling in Endurance Sports Movement and Sport Science, Editors: Chris R. Abbiss, Dietmar Saupe
Published Online:
Nov 30, 2017
Page range:
117 - 129
DOI:
https://doi.org/10.1515/ijcss-2017-0010
Keywords
performance modeling
,
kalman filter
,
fitness
,
fatigue
© 2017
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
