Sensors (Aug 2023)

A Simple and Valid Method to Calculate Wheelchair Frame Rotation Using One Wheel-Mounted IMU

  • Marc Klimstra,
  • Melissa Lacroix,
  • Matt Jensen,
  • Joel Greenshields,
  • Daniel Geneau,
  • Patrick Cormier,
  • Ryan Brodie,
  • Drew Commandeur,
  • Ming-Chang Tsai

DOI
https://doi.org/10.3390/s23177423
Journal volume & issue
Vol. 23, no. 17
p. 7423

Abstract

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Wheelchair sports have been using Inertial Measurement Units (IMU) to measure mobility metrics during training, testing and competition. Presently, the most suitable solution to calculate wheelchair speed and frame rotation is the 3IMU method as there is uncertainty about the ability of a one wheel-mounted IMU (1IMU) approach to calculate wheelchair frame rotational kinematics. A new method for calculating wheelchair frame rotational kinematics using a single wheel-mounted IMU is presented and compared to a criterion measurement using a wheelchair-frame-mounted IMU. Goodness-of-fit statistics demonstrate very strong linear relationships between wheelchair frame angular velocity calculated from the wheel-mounted IMUs and a wheelchair-frame-mounted IMU. Root mean square error (RMSE), mean absolute error (MAE) and Bland–Altman analysis show very small differences between the wheelchair frame angular velocity calculated from the wheel-mounted IMUs and the wheelchair-frame-mounted IMU. This study has demonstrated a simple and accurate approach to estimating wheelchair frame rotation using one wheel-mounted IMU during an elite wheelchair athlete agility task. Future research is needed to reexamine and compare wheelchair mobility metrics determined using the 3IMU and 1IMU solutions using this new approach.

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