Performance Estimation using the Fitness-Fatigue Model with Kalman Filter Feedback
By: D. Kolossa, M.A. Bin Azhar, C. Rasche, S. Endler, F. Hanakam, A. Ferrauti and M. Pfeiffer
Authors
D. Kolossa
Faculty of Electrical Engineering and Information Technology, Ruhr-University Bochum,, Bochum, Germany
M.A. Bin Azhar
Faculty of Electrical Engineering and Information Technology, Ruhr-University Bochum,, Bochum, Germany
C. Rasche
Department of Theory and Practical Performance in Sports, Johannes Gutenberg-University Mainz,, Mainz, Germany
S. Endler
Department of Theory and Practical Performance in Sports, Johannes Gutenberg-University Mainz,, Mainz, Germany
F. Hanakam
Faculty of Sport Science, Ruhr-University Bochum,, Bochum, Germany
A. Ferrauti
Faculty of Sport Science, Ruhr-University Bochum,, Bochum, Germany
M. Pfeiffer
Department of Theory and Practical Performance in Sports, Johannes Gutenberg-University Mainz,, Mainz, Germany
DOI: https://doi.org/10.1515/ijcss-2017-0010 | Journal eISSN: 1684-4769
Language: English
Page range: 117 - 129
Published on: Nov 30, 2017
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
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© 2017 D. Kolossa, M.A. Bin Azhar, C. Rasche, S. Endler, F. Hanakam, A. Ferrauti, M. Pfeiffer, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.