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The effects of age and body weight on powerlifters: An analysis model of powerlifting performance based on machine learning

Authors
  • Chau, Vinh Huy
  • Vo, Anh Thu
  • Le, Ba Tuan1
  • 1 Duy Tan University , (Vietnam)
Type
Published Article
Journal
International Journal of Computer Science in Sport
Publisher
Sciendo
Publication Date
Dec 01, 2019
Volume
18
Issue
3
Pages
89–99
Identifiers
DOI: 10.2478/ijcss-2019-0019
Source
De Gruyter
Keywords
License
Green

Abstract

As a up and coming sport, powerlifting is gathering more and more attetion. Powerlifters vary in their strength levels and performances at different ages as well as differing in height and weight. Hence the questions arises on how to establish the relationship between age and weight. It is difficult to judge the performance of athletes by artificial expertise, as subjective factors affecting the performance of powerlifters often fail to achieve the desired results. In recent years, artificial intelligence has made groundbreaking strides. Therefore, using artificial intelligence to predict the performance of athletes is among one of many interesting topics in sports competitions. Based on the artificial intelligence algorithm, this research proposes an analysis model of powerlifters’ performance. The results show that the method proposed in this paper can predict the best performance of powerlifters. Coefficient of determination-R2=0.86 and root-mean-square error of prediction-RMSEP=20.98 demonstrate the effectiveness of our method.

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