TY - CHAP
T1 - WheelPower
T2 - Wheelchair Sports and Data Science Push It to the Limit
AU - Vegter, Riemer
AU - Janssen, Rowie J.F.
AU - van Dijk, Marit
AU - Hoozemans, Marco J. M.
AU - Veeger, H.E.J.
AU - Houdijk, Han J. H. P.
AU - van der Woude, L. H. V.
AU - Berger, Monique A. M.
AU - van der Slikke, Rienk M. A.
AU - de Groot, Sonja
PY - 2024/10/28
Y1 - 2024/10/28
N2 - 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.
AB - 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.
U2 - 10.4230/OASIcs.Commit2Data.6
DO - 10.4230/OASIcs.Commit2Data.6
M3 - Chapter
VL - 124
T3 - Commit2Data: Open Access Series in Informatics (OASIcs)
SP - 6:1 - 6:10
BT - Commit2Data
A2 - Haverkort, Boudewijn R.
A2 - de Jongste, Aldert
A2 - van Kuilenburg, Pieter
A2 - Vromans, Ruben D.
PB - Schloss Dagstuhl--Leibniz-Zentrum für Informatik
ER -