IEEE Transactions on Neural Systems and Rehabilitation Engineering (Jan 2023)

A Method for Calculating Lower Extremity Anatomical Landmark Trajectories Based on Inertial Motion Capture Data

  • Zhengtao Wang,
  • Fei Gao,
  • Zihao Wu,
  • Dongmei Wang,
  • Xin Guo,
  • Suiran Yu

DOI
https://doi.org/10.1109/TNSRE.2023.3285924
Journal volume & issue
Vol. 31
pp. 2734 – 2746

Abstract

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Anatomical landmark trajectories are commonly used to define joint coordinate systems in human kinematic analysis according to standards proposed by the International Society of Biomechanics (ISB). However, most inertial motion capture (IMC) studies focus only on joint angle measurement, which limits its application. Therefore, this paper proposes a new method to calculate the trajectories of anatomical landmarks based on IMC data. The accuracy and reliability of this method were investigated by comparative analysis based on measurement data from 16 volunteers. The results showed that the accuracy of anatomical landmark trajectories was 23.4 to 57.3 mm, about 5.9% to 7.6% of the segment length, the orientation accuracy was about 3.3° to 8.1°, less than 8.6% of the range of motion (ROM), using optical motion capture results as the gold standard. Furthermore, the accuracy of this method is are similar to that of Xsens MVN, a commercial IMC system. The results also show that the algorithm allows for more in-depth motion analysis based on IMC data, and the output format is more versatile.

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