Cited by 334Ergonomics and Musculoskeletal DisordersInertial Sensor and NavigationContext-Aware Activity Recognition Systems

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Validation of inertial measurement units with an optoelectronic system for whole-body motion analysis

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Robert-Lachaine, Xavier, Mecheri, Hakim, Larue, Christian, Plamondon, André·2017·Medical & Biological Engineering & Computing

DOI 10.1007/s11517-016-1537-2

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Abstract

The potential of inertial measurement units (IMUs) for ergonomics applications appears promising. However, previous IMUs validation studies have been incomplete regarding aspects of joints analysed, complexity of movements and duration of trials. The objective was to determine the technological error and biomechanical model differences between IMUs and an optoelectronic system and evaluate the effect of task complexity and duration. Whole-body kinematics from 12 participants was recorded simultaneously with a full-body Xsens system where an Optotrak cluster was fixed on every IMU. Short functional movements and long manual material handling tasks were performed and joint angles were compared between the two systems. The differences attributed to the biomechanical model showed significantly greater (P ≤ .001) RMSE than the technological error. RMSE was systematically higher (P ≤ .001) for the long complex task with a mean on all joints of 2.8° compared to 1.2° during short functional movements. Definition of local coordinate systems based on anatomical landmarks or single posture was the most influent difference between the two systems. Additionally, IMUs accuracy was affected by the complexity and duration of the tasks. Nevertheless, technological error remained under 5° RMSE during handling tasks, which shows potential to track workers during their daily labour.

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Authors: Robert-Lachaine, X., Mecheri, H., Larue, C., & Plamondon, A.
Affiliations: Institut de recherche Robert-Sauvé en santé et en sécurité du travail (CA)
ORCID: Robert-Lachaine, Xavier
Mecheri, Hakim
Larue, Christian
Plamondon, André
Venue: Medical & Biological Engineering & Computing
Publisher: Springer Science and Business Media LLC
Published: 2016-07-05
Volume: 55
Issue: 4
Pages: 609-619
ISSN: 0140-0118 (ISSN-L)
1741-0444
DOI: 10.1007/s11517-016-1537-2
OpenAlex: W2460830751
Cited by: 329
References: 36
Citations by year: 2026: 27 · 2025: 39 · 2024: 29 · 2023: 35 · 2022: 42 · 2021: 46 · 2020: 43 · 2019: 29 · 2018: 23 · 2017: 16
FWCI: 35.71
Type: journal article
Language: en
Open access: green
pharesst.irsst.qc.ca
Licence: www.springer.com/tdm (unspecified)
Locations: Medical & Biological Engineering & Computing (publishedVersion)
PubMed (publishedVersion)
PhareSST (submittedVersion)
Funders: IRSST (2012-0040, Postdoctoral program)
Topics: Social Sciences › Human Factors and Ergonomics › Ergonomics and Musculoskeletal Disorders
Physical Sciences › Engineering › Aerospace Engineering › Inertial Sensor and Navigation
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords: inertial measurement unit, optical motion capture, whole-body kinematics, technological errors, joint angles, task complexity, task duration, manual material handling, functional movement, local coordinate system, anatomical landmarks, Xsens, human factors, worker tracking
MeSH terms: Adult, Biomechanical Phenomena, Female, Humans, Male, Models, Theoretical, Monitoring, Physiologic, Motion, Movement, Posture, Optics and Photonics

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Validation of inertial measurement units with an optoelectronic system for whole-body motion analysis

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