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Generating Training Plans Based on Existing Sports Activities

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Computational Intelligence in Sports

Part of the book series: Adaptation, Learning, and Optimization ((ALO,volume 22))

Abstract

Creating training plans is the more important task for real trainers, in which specific training sessions are prescribed to trainees according to intensity, duration, type, and repetition, for a specific training period. After realization of the plan, it is expected that the athlete in training would acquire the proper performance level needed for achieving the top results in competitions. Typically, this planning requires controlling the athlete’s results obtained during the realization and making decisions by analyzing these. Especially, the performance analysis is recently becoming too difficult for the trainers due to enormous amount of data generated by mobile devices during the training.

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Note

The results published in this chapter are based on the Ph.D. dissertation of Iztok Fister Jr. defended at the University of Maribor in 2017 [18].

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Correspondence to Iztok Fister .

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Fister, I., Fister Jr., I., Fister, D. (2019). Generating Training Plans Based on Existing Sports Activities. In: Computational Intelligence in Sports. Adaptation, Learning, and Optimization, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-030-03490-0_7

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