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.v3
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.v3
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.v3
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.v3
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.v3
Abstract
Analytics have become increasingly popular among sports in recent years, providing valuable information regarding 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 aims 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 the Olympic Games. By separating the isolated action of each trial, the result is an additional influence caused by the interaction of factors or the simultaneous action. That might explain why the neuromuscular feedback loop is utterly necessary to perform 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.
Received:
16 October 2023
Commenter:
Radu BUCEA-MANEA-ȚONIȘ
Commenter's Conflict of Interests:
Author
Comment:
We have detailed the experimental trial conditions for the entire sample size (N=25). Ethical documentation was provided by the University of Brasov's Ethics Committee (IRB file) carried out in conformity with the Declaration of Helsinki. The quality of presentation and writing had been improved, focusing on document clarity and cohesion. The predictors of performance had been explained according to the assessment of atlethes' skills. We had clarified the specific objectives of the study, focusing on how our method contributes uniquely to sports analytics by providing step-by-step details of the method's measurement process. We have improved the list of references with relevant sources and provide discussion on practical application of our findings that may enhance atlethes' performance.
Commenter: Radu BUCEA-MANEA-ȚONIȘ
Commenter's Conflict of Interests: Author
Ethical documentation was provided by the University of Brasov's Ethics Committee (IRB file) carried out in conformity with the Declaration of Helsinki.
The quality of presentation and writing had been improved, focusing on document clarity and cohesion.
The predictors of performance had been explained according to the assessment of atlethes' skills.
We had clarified the specific objectives of the study, focusing on how our method contributes uniquely to sports analytics by providing step-by-step details of the method's measurement process.
We have improved the list of references with relevant sources and provide discussion on practical application of our findings that may enhance atlethes' performance.