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Post-trial Anatomical Frame Alignment Procedure for Comparison of 3D Joint Angle Measurement from Magnetic/inertial Measurement Units and Camera-based Systems

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Journal Physiol Meas
Date 2014 Oct 24
PMID 25340557
Citations 2
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Abstract

Magnetic and inertial measurement units (MIMUs) have been widely used as an alternative to traditional camera-based motion capture systems for 3D joint kinematics measurement. Since these sensors do not directly measure position, a pre-trial anatomical calibration, either with the assistance of a special protocol/apparatus or with another motion capture system is required to establish the transformation matrices between the local sensor frame and the anatomical frame (AF) of each body segment on which the sensors are attached. Because the axes of AFs are often used as the rotational axes in the joint angle calculation, any difference in the AF determination will cause discrepancies in the calculated joint angles. Therefore, a direct comparison of joint angles between MIMU systems and camera-based systems is less meaningful because the calculated joint angles contain a systemic error due to the differences in the AF determination. To solve this problem a new post-trial AF alignment procedure is proposed. By correcting the AF misalignments, the joint angle differences caused by the difference in AF determination are eliminated and the remaining discrepancies are mainly from the measurement accuracy of the systems themselves. Lower limb joint angles from 30 walking trials were used to validate the effectiveness of the proposed AF alignment procedure. This technique could serve as a new means for calibrating magnetic/inertial sensor-based motion capture systems and correcting for AF misalignment in scenarios where joint angles are compared directly.

Citing Articles

Estimation of Gait Mechanics Based on Simulated and Measured IMU Data Using an Artificial Neural Network.

Mundt M, Koeppe A, David S, Witter T, Bamer F, Potthast W Front Bioeng Biotechnol. 2020; 8:41.

PMID: 32117923 PMC: 7013109. DOI: 10.3389/fbioe.2020.00041.


Inertial measurement unit-based pose estimation: Analyzing and reducing sensitivity to sensor placement and body measures.

Kianifar R, Joukov V, Lee A, Raina S, Kulic D J Rehabil Assist Technol Eng. 2019; 6:2055668318813455.

PMID: 31245025 PMC: 6582294. DOI: 10.1177/2055668318813455.