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Performance Estimation using the Fitness-Fatigue Model with Kalman Filter Feedback Cover

Performance Estimation using the Fitness-Fatigue Model with Kalman Filter Feedback

International Journal of Computer Science in Sport
Volume 16 (2017): Issue 2 (November 2017)
By: D. Kolossa,  M.A. Bin Azhar,  C. Rasche,  S. Endler,  F. Hanakam,  A. Ferrauti and  M. Pfeiffer  
Open Access
|Nov 2017

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
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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:
performance modeling,
kalman filter,
fitness,
fatigue
Related subjects:
Computer sciences,
Databases and data mining,
Computer sciences, other,
Sports and recreation,
Physical education,
Sports and recreation, other

© 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.

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