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Open AccessArticle

Validation of an IMU Suit for Military-Based Tasks

1
Faculty of Health Sciences, School of Human Kinetics, University of Ottawa, Ottawa, ON K1N 6N5, Canada
2
Defence Research and Development Canada, Government of Canada, Toronto, ON M3K 2C9, Canada
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(15), 4280; https://doi.org/10.3390/s20154280
Received: 12 June 2020 / Revised: 20 July 2020 / Accepted: 27 July 2020 / Published: 31 July 2020
(This article belongs to the Special Issue Wearable Sensors for Movement Analysis)
Investigating the effects of load carriage on military soldiers using optical motion capture is challenging. However, inertial measurement units (IMUs) provide a promising alternative. Our purpose was to compare optical motion capture with an Xsens IMU system in terms of movement reconstruction using principal component analysis (PCA) using correlation coefficients and joint kinematics using root mean squared error (RMSE). Eighteen civilians performed military-type movements while their motion was recorded using both optical and IMU-based systems. Tasks included walking, running, and transitioning between running, kneeling, and prone positions. PCA was applied to both the optical and virtual IMU markers, and the correlations between the principal component (PC) scores were assessed. Full-body joint angles were calculated and compared using RMSE between optical markers, IMU data, and virtual markers generated from IMU data with and without coordinate system alignment. There was good agreement in movement reconstruction using PCA; the average correlation coefficient was 0.81 ± 0.14. RMSE values between the optical markers and IMU data for flexion-extension were less than 9°, and 15° for the lower and upper limbs, respectively, across all tasks. The underlying biomechanical model and associated coordinate systems appear to influence RMSE values the most. The IMU system appears appropriate for capturing and reconstructing full-body motion variability for military-based movements. View Full-Text
Keywords: inertial sensors; Xsens; army; joint kinematics; principal component analysis; PCA; root mean squared error; RMSE; Xsens vs. Vicon inertial sensors; Xsens; army; joint kinematics; principal component analysis; PCA; root mean squared error; RMSE; Xsens vs. Vicon
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MDPI and ACS Style

Mavor, M.P.; Ross, G.B.; Clouthier, A.L.; Karakolis, T.; Graham, R.B. Validation of an IMU Suit for Military-Based Tasks. Sensors 2020, 20, 4280. https://doi.org/10.3390/s20154280

AMA Style

Mavor MP, Ross GB, Clouthier AL, Karakolis T, Graham RB. Validation of an IMU Suit for Military-Based Tasks. Sensors. 2020; 20(15):4280. https://doi.org/10.3390/s20154280

Chicago/Turabian Style

Mavor, Matthew P.; Ross, Gwyneth B.; Clouthier, Allison L.; Karakolis, Thomas; Graham, Ryan B. 2020. "Validation of an IMU Suit for Military-Based Tasks" Sensors 20, no. 15: 4280. https://doi.org/10.3390/s20154280

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