Obtaining wheelchair kinematics with one sensor only? The trade-off between number of inertial sensors and accuracy for measuring wheelchair mobility performance in sports

Marit P. van Dijk*, Rienk M.A. van der Slikke, Rob Rupf, Marco J.M. Hoozemans, Monique A.M. Berger, Dirk Jan H.E.J. Veeger

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

In wheelchair sports, the use of Inertial Measurement Units (IMUs) has proven to be one of the most accessible ways for ambulatory measurement of wheelchair kinematics. A three-IMU configuration, with one IMU attached to the wheelchair frame and two IMUs on each wheel axle, has previously shown accurate results and is considered optimal for accuracy. Configurations with fewer sensors reduce costs and could enhance usability, but may be less accurate. The aim of this study was to quantify the decline in accuracy for measuring wheelchair kinematics with a stepwise sensor reduction. Ten differently skilled participants performed a series of wheelchair sport specific tests while their performance was simultaneously measured with IMUs and an optical motion capture system which served as reference. Subsequently, both a one-IMU and a two-IMU configuration were validated and the accuracy of the two approaches was compared for linear and angular wheelchair velocity. Results revealed that the one-IMU approach show a mean absolute error (MAE) of 0.10 m/s for absolute linear velocity and a MAE of 8.1°/s for wheelchair angular velocity when compared with the reference system. The two-IMU approach showed similar differences for absolute linear wheelchair velocity (MAE 0.10 m/s), and smaller differences for angular velocity (MAE 3.0°/s). Overall, a lower number of IMUs used in the configuration resulted in a lower accuracy of wheelchair kinematics. Based on the results of this study, choices regarding the number of IMUs can be made depending on the aim, required accuracy and resources available.

Original languageEnglish
Article number110879
Pages (from-to)1-6
Number of pages6
JournalJournal of Biomechanics
Volume130
Early online date27 Nov 2021
DOIs
Publication statusPublished - Jan 2022

Bibliographical note

Funding Information:
This work was supported by the Netherlands Organisation for Health Research and Development (ZonMw), project number 546003002. This project, named WheelPower: wheelchair sports and data science push it to the limit is a cooperative effort between TU Delft, UMCG, THUAS, VU Amsterdam and is in cooperation with several sports federations collected under the umbrella of NOC?NSF.

Funding Information:
This work was supported by the Netherlands Organisation for Health Research and Development (ZonMw), project number 546003002. This project, named WheelPower: wheelchair sports and data science push it to the limit is a cooperative effort between TU Delft, UMCG, THUAS, VU Amsterdam and is in cooperation with several sports federations collected under the umbrella of NOC∗NSF.

Publisher Copyright:
© 2021

Funding

This work was supported by the Netherlands Organisation for Health Research and Development (ZonMw), project number 546003002. This project, named WheelPower: wheelchair sports and data science push it to the limit is a cooperative effort between TU Delft, UMCG, THUAS, VU Amsterdam and is in cooperation with several sports federations collected under the umbrella of NOC?NSF. This work was supported by the Netherlands Organisation for Health Research and Development (ZonMw), project number 546003002. This project, named WheelPower: wheelchair sports and data science push it to the limit is a cooperative effort between TU Delft, UMCG, THUAS, VU Amsterdam and is in cooperation with several sports federations collected under the umbrella of NOC∗NSF.

FundersFunder number
National Science Foundation
ZonMw546003002
Technische Universiteit Delft

    Keywords

    • Accuracy
    • Inertial measurement unit
    • Kinematics
    • Paralympic sports
    • Wheelchair mobility performance

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