The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Concurrent validation of Xsens MVN measurement of lower limb joint angular kinematics
Open accessAbstract
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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“However, the estimated marker locations and subsequent model produced has previously been found to be a reliable and valid measure of joint kinematics during dynamic movements when in combination with a biomechanical model [19,20,21].”
From The Effects of an Eight over Cricket Bowling Spell upon Pace Bowling Biomechanics and Performance within Different Delivery Lengths (2019) · cites this paper as [21]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“The XSENS motion analysis system has previously been found to be a reliable and valid means of assessing joint angles in dynamic movements [19,20,21].”
From The Effects of an Eight over Cricket Bowling Spell upon Pace Bowling Biomechanics and Performance within Different Delivery Lengths (2019) · cites this paper as [21]
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“Intra-rater reliability was fair to excellent and inter-rater reliability varied across movements performed (good for walking [ICC from 0.4 to 0.74] and poor for jumping [ICC ≤ 0.39] [45,53,59]).”
From Validity and Reliability of Wearable Sensors for Joint Angle Estimation: A Systematic Review (2019) · cites this paper as [59]
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Cites
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Muro, A., García-Zapirain, B., & Zorrilla, A. M. (2014) · Sensors · doi:10.3390/s140203362 · Cited by 1,181
IMU-Based Joint Angle Measurement for Gait Analysis
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Metadata
- Authors
- Zhang, J.-T., Novak, A. C., Brouwer, B., & Li, Q.
- Affiliations
- Toronto Rehabilitation Institute (CA)
- Queen's University (CA)
- Corresponding author
- 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
- 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
- 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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