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WheelPower: Wheelchair Sports and Data Science Push It to the Limit

Authors Riemer J. K. Vegter , Rowie J. F. Janssen , Marit P. van Dijk , Marco J. M. Hoozemans , Dirkjan H. E. J. Veeger , Han J. H. P. Houdijk , Luc H. V. van der Woude , Monique A. M. Berger , Rienk M. A. van der Slikke , Sonja de Groot

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Riemer J. K. Vegter
  • University Medical Center Groningen, Center for Human Movement Sciences, University of Groningen, The Netherlands
Rowie J. F. Janssen
  • University Medical Center Groningen, Center for Human Movement Sciences, University of Groningen, The Netherlands
Marit P. van Dijk
  • Department of Biomechanical Engineering, Delft University of Technology, The Netherlands
Marco J. M. Hoozemans
  • Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, The Netherlands
Dirkjan H. E. J. Veeger
  • Department of Biomechanical Engineering, Delft University of Technology, The Netherlands
Han J. H. P. Houdijk
  • University Medical Center Groningen, Center for Human Movement Sciences, University of Groningen, The Netherlands
Luc H. V. van der Woude
  • University Medical Center Groningen, Center for Human Movement Sciences, University of Groningen, The Netherlands
Monique A. M. Berger
  • Faculty of Health Nutrition and Sports, The Hague University of Applied Sciences, The Netherlands
Rienk M. A. van der Slikke
  • Faculty of Health Nutrition and Sports, The Hague University of Applied Sciences, The Netherlands
Sonja de Groot
  • Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, The Netherlands

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Riemer J. K. Vegter, Rowie J. F. Janssen, Marit P. van Dijk, Marco J. M. Hoozemans, Dirkjan H. E. J. Veeger, Han J. H. P. Houdijk, Luc H. V. van der Woude, Monique A. M. Berger, Rienk M. A. van der Slikke, and Sonja de Groot. WheelPower: Wheelchair Sports and Data Science Push It to the Limit. In Commit2Data. Open Access Series in Informatics (OASIcs), Volume 124, pp. 6:1-6:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
https://doi.org/10.4230/OASIcs.Commit2Data.6

Abstract

Paralympic wheelchair athletes solely depend on the power of their upper-body for their on- court wheeled mobility as well as for performing sport-specific actions in ball sports, like a basketball shot or a tennis serve. The objective of WheelPower is to improve the power output of athletes in their sport-specific wheelchair to perform better in competition. To achieve this objective the current project systematically combines the three Dutch measurement innovations (WMPM, Esseda wheelchair ergometer, PitchPerfect system) to monitor a large population of athletes from different wheelchair sports resulting in optimal power production by wheelchair athletes during competition. The data will be directly implemented in feedback tools accessible to athletes, trainers and coaches which gives them the unique opportunity to adapt their training and wheelchair settings for optimal performance. Hence, the current consortium facilitates mass and focus by uniting scientists and all major Paralympic wheelchair sports to monitor the power output of many wheelchair athletes under field and lab conditions, which will be assisted by the best data science approach to this challenge.

Subject Classification

ACM Subject Classification
  • Social and professional topics → People with disabilities
Keywords
  • Paralympic sports
  • Wheelchair sports
  • Power

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