predicting speed skating performance with automatized analyses

Press/Media: Public Engagement ActivitiesPopular

Description

Based on a strong collaboration between science, sports practice, and business, a major step is taken in the digitalization of speed skating performance. It is now possible to follow the performance of speed skaters online and in real-time, and to predict their finish times. Thanks to the partners involved - Thialf, KPN, KNSB, Sportunity, and the University of Groningen / Sport Science Institute Groningen - fan experiences of speed skating events can be improved, and clues can be provided to coaches and researchers on how to improve performance. 

Period21-Feb-2018

Media contributions

1

Media contributions

  • TitlePredicting speed skating performance with automatized analyses
    Degree of recognitionNational
    Media typeWeb
    CountryNetherlands
    Date21/02/2018
    DescriptionBased on a strong collaboration between science, sports practice, and business, a major step is taken in the digitalization of speed skating performance. It is now possible to follow the performance of speed skaters online and in real-time, and to predict their finish times. Thanks to the partners involved - Thialf, KPN, KNSB, Sportunity, and the University of Groningen / Sport Science Institute Groningen - fan experiences of speed skating events can be improved, and clues can be provided to coaches and researchers on how to improve performance.
    Producer/AuthorInnovatielab Thialf
    URLhttps://www.rug.nl/gmw/psychology/news/open-datauitwisseling-in-thialf
    PersonsRuud den Hartigh

Keywords

  • performance prediction
  • talent selection
  • talent development
  • computer science
  • speed skating
  • sport science