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Post hoc analysis of sport performance with differential evolution

  • S.I: India Intl. Congress on Computational Intelligence 2017
  • Published:
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Abstract

Advising athletes how to improve their performance after a race is a very important aspect of sport training. It can also be called a post hoc analysis, which often includes a deep analysis of an athlete’s performance, behavior and body characteristics after a race. These analyses help trainers to adapt their training plan according to the athlete’s performance on the one hand, and to modify the strategy or tactic of the racing on the other. Until recently, rare solutions of automatic analysis, using modern artificial intelligence tools, were proposed. In this paper, recent solutions are reviewed and a novel solution is proposed, which relies on heart rate data for post hoc analysis. Here, the main focus is on individual sports, where the performed time determines the quality of results (e.g., running, cycling and triathlon). The proposed solution was tested on two case studies of running athletes.

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Notes

  1. Note that all maps in this study were exported from http://connect.garmin.com application where shown maps are based on Google Maps.

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Authors and Affiliations

  1. Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška cesta 46, 2000, Maribor, Slovenia

    Iztok Fister, Uroš Mlakar, Janez Brest & Iztok Fister Jr.

  2. Faculty of Economics and Business, University of Maribor, Razlagova 14, 2000, Maribor, Slovenia

    Dušan Fister

  3. IT and Educational Consultant, Ranchi, Jharkhand, India

    Suash Deb

  4. Decision Sciences and Modelling Program, Victoria University, Melbourne, VIC, 8001, Australia

    Suash Deb

Authors
  1. Iztok Fister
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  2. Dušan Fister
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  3. Suash Deb
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  4. Uroš Mlakar
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  5. Janez Brest
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  6. Iztok Fister Jr.
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Correspondence to Iztok Fister Jr..

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Fister, I., Fister, D., Deb, S. et al. Post hoc analysis of sport performance with differential evolution. Neural Comput & Applic 32, 10799–10808 (2020). https://doi.org/10.1007/s00521-018-3395-3

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  • DOI: https://doi.org/10.1007/s00521-018-3395-3

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