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The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training

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International Conference on Emerging Applications and Technologies for Industry 4.0 (EATI’2020) (EATI 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 254))

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Abstract

The main contribution of this paper is to show the linkage between the domains of Smart Sport Training and Nature-Inspired Metaheuristic Algorithms. Every year, the Smart Sport Training domain is becoming more and more crowded by different intelligent solutions that help, support and encourage people in maintaining their healthy lifestyle, as well as their sporting activities. On the other hand, nature-inspired algorithms are powerful methods for solving different kinds of optimization problems. In this paper, we show the applicability of nature-inspired algorithms in solving different intelligent tasks in the domain of Smart Sport Training. Recent progress and selected applications are outlined systematically, and the current implications of these developments are substantiated by their real usage.

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Notes

  1. 1.

    References taken from https://github.com/fcampelo/EC-Bestiary. Only references with a valid DOI were considered in this study.

  2. 2.

    * on Fig. 3 denotes the current year that is still in progress. Therefore, the number of research works is not final.

  3. 3.

    https://tacx.com/.

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Acknowledgments

The author wishes to express his thanks for the financial support from the Slovenian Research Agency (Research Core Funding No. P2-0057).

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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 Jr.

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  1. Iztok Fister Jr.
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Correspondence to Iztok Fister Jr. .

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Editors and Affiliations

  1. Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, VIC, Australia

    Jemal H. Abawajy

  2. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

  3. Mathematical Sciences Department, Abubakar Tafawa Balewa University, Bauchi, Nigeria

    Haruna Chiroma

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Fister Jr., I. (2021). The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training. In: Abawajy, J.H., Choo, KK.R., Chiroma, H. (eds) International Conference on Emerging Applications and Technologies for Industry 4.0 (EATI’2020). EATI 2020. Lecture Notes in Networks and Systems, vol 254. Springer, Cham. https://doi.org/10.1007/978-3-030-80216-5_1

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