Version 1
: Received: 2 August 2023 / Approved: 3 August 2023 / Online: 4 August 2023 (08:16:40 CEST)
Version 2
: Received: 12 August 2023 / Approved: 14 August 2023 / Online: 15 August 2023 (09:04:45 CEST)
Version 3
: Received: 12 October 2023 / Approved: 13 October 2023 / Online: 16 October 2023 (08:35:18 CEST)
How to cite:
Bucea Manea Tonis, R.; Savin, P.S.; Talaghir, L.; Mindrescu, V. Machine Learning Tools Applied for Training Optimization in Handball. Preprints2023, 2023080372. https://doi.org/10.20944/preprints202308.0372.v1
Bucea Manea Tonis, R.; Savin, P.S.; Talaghir, L.; Mindrescu, V. Machine Learning Tools Applied for Training Optimization in Handball. Preprints 2023, 2023080372. https://doi.org/10.20944/preprints202308.0372.v1
Bucea Manea Tonis, R.; Savin, P.S.; Talaghir, L.; Mindrescu, V. Machine Learning Tools Applied for Training Optimization in Handball. Preprints2023, 2023080372. https://doi.org/10.20944/preprints202308.0372.v1
APA Style
Bucea Manea Tonis, R., Savin, P.S., Talaghir, L., & Mindrescu, V. (2023). Machine Learning Tools Applied for Training Optimization in Handball. Preprints. https://doi.org/10.20944/preprints202308.0372.v1
Chicago/Turabian Style
Bucea Manea Tonis, R., Laurentiu-Gabriel Talaghir and Veronica Mindrescu. 2023 "Machine Learning Tools Applied for Training Optimization in Handball" Preprints. https://doi.org/10.20944/preprints202308.0372.v1
Abstract
Analytics become increasingly popular among different sports in recent years, as they provide valuable information regarding both physical and mental health. Many athletes have found that analytics during training can help to improve their performance, reduce the risk of injury, and enhance their overall well-being This paper propose to improve the results of handball players by applying a method for measuring the influence of different trials on aggregate performance calculated per each athlete in order to qualify for Olympic games. By separating the isolated action of each trial, the result is an additional influence that is caused by the interaction of factors or the simultaneous action. That might explain the neuromuscular feedback loop utterly necessary in performing handball motor actions. Further on, the ML analysis can help identify areas for improvement, optimize training programs, and enhance overall team performance.
Social Sciences, Tourism, Leisure, Sport and Hospitality
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
