Cited by 314Lower Extremity Biomechanics and PathologiesHuman Motion and AnimationContext-Aware Activity Recognition Systems

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Concurrent validation of Xsens MVN measurement of lower limb joint angular kinematics

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Zhang, Jun-Tian, Novak, Alison C, Brouwer, Brenda, Li, Qingguo·2013·Physiological Measurement

DOI 10.1088/0967-3334/34/8/n63

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Abstract

This study aims to validate a commercially available inertial sensor based motion capture system, Xsens MVN BIOMECH using its native protocols, against a camera-based motion capture system for the measurement of joint angular kinematics. Performance was evaluated by comparing waveform similarity using range of motion, mean error and a new formulation of the coefficient of multiple correlation (CMC). Three dimensional joint angles of the lower limbs were determined for ten healthy subjects while they performed three daily activities: level walking, stair ascent, and stair descent. Under all three walking conditions, the Xsens system most accurately determined the flexion/extension joint angle (CMC > 0.96) for all joints. The joint angle measurements associated with the other two joint axes had lower correlation including complex CMC values. The poor correlation in the other two joint axes is most likely due to differences in the anatomical frame definition of limb segments used by the Xsens and Optotrak systems. Implementation of a protocol to align these two systems is necessary when comparing joint angle waveforms measured by the Xsens and other motion capture systems.

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Authors: Zhang, J.-T., Novak, A. C., Brouwer, B., & Li, Q.
Affiliations: Toronto Rehabilitation Institute (CA)
Queen's University (CA)
Corresponding author: Li, Qingguo
ORCID: Novak, Alison C
Li, Qingguo
Venue: Physiological Measurement
Publisher: IOP Publishing
Published: 2013-07-26
Volume: 34
Issue: 8
Pages: N63-N69
ISSN: 0967-3334 (ISSN-L)
1361-6579
DOI: 10.1088/0967-3334/34/8/n63
OpenAlex: W2036123359
Cited by: 314
References: 14
Citations by year: 2026: 14 · 2025: 24 · 2024: 25 · 2023: 30 · 2022: 37 · 2021: 41 · 2020: 36 · 2019: 22 · 2018: 24 · 2017: 21 · 2016: 21 · 2015: 14 · 2014: 5
FWCI: 7.35
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: iopscience.iop.org/info/page/text-and-data-mining (tdm)
iopscience.iop.org/page/copyright (vor)
Locations: Physiological Measurement (publishedVersion)
PubMed (publishedVersion)
Funders: Natural Sciences and Engineering Research Council of Canada
Topics: Physical Sciences › Engineering › Biomedical Engineering › Lower Extremity Biomechanics and Pathologies
Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Human Motion and Animation
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords: inertial sensors, lower limb joint kinematics, joint angle measurement, motion capture validation, camera-based motion capture, walking, stair ascent and descent
MeSH terms: Biomechanical Phenomena, Female, Humans, Joints, Male, Reproducibility of Results, Range of Motion, Articular, Monitoring, Ambulatory, Lower Extremity, Young Adult

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Concurrent validation of Xsens MVN measurement of lower limb joint angular kinematics

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