Human movement analysis using stereophotogrammetry
Abstract
This paper reviews the main aspects involved with the management of instrumental errors associated with video-based optoelectronic stereophotogrammetry. Insights on how such errors propagate to kinematic quantities are of great interest in the field of human movement analysis to improve the precision and reliability of measurements. The review focuses on the technical assessment and analytical compensation procedures to cope with instrumental errors. Relevant contributions dealing with intrinsic sources of systematic and random errors, such as the issues concerning camera calibration and filtering and smoothing of marker position data, are presented. Procedures for marker imaged processing, and missing marker recovery are also surveyed. Methods for checking the accuracy and precision of stereophotogrammetric systems are then reviewed. Finally, since the desired outcome of the movement measurements is a reliable estimate of body segment kinematics, state-of-the-art techniques proposed for minimization of error propagation arising from a cluster of external markers are described.
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Compensation methods such as least-squares techniques applied to coordinates of markers allow improvement of the bone pose estimate.
“Compensation methods that have been developed, such as least-squares techniques applied to coordinates of markers allow improvement of the bone pose estimate [42].”
From Neurological Tremor: Sensors, Signal Processing and Emerging Applications (2010) · cites this paper as [42]
Calibration inaccuracies, image distortion, electrical noise, errors in positioning of markers and marker flickering, as well as experimental mistakes related to the selection of the environment may occur.
“Calibration inaccuracies, image distortion, electrical noise, errors in positioning of markers and marker flickering (imprecision related to image conversion), as well as experimental mistakes related to the selection of the environment may occur [42,45].”
From Neurological Tremor: Sensors, Signal Processing and Emerging Applications (2010) · cites this paper as [42]
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Ceseracciu, E., Sawacha, Z., & Cobelli, C. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087640 · Cited by 210 · see citing works
Neurological Tremor: Sensors, Signal Processing and Emerging Applications
Grimaldi, G., & Manto, M. (2010) · Sensors · doi:10.3390/s100201399 · Cited by 138 · see citing works
“Recognition of passive markers can be performed either via recognition software or with a dedicated hardware circuit [42-44].”
BackgroundMethodInfluentialUse of wearable sensor technology in gait, balance, and range of motion analysis
Díaz, S., Stephenson, J. B., & Labrador, M. A. (2019) · Applied Sciences · doi:10.3390/app10010234 · Cited by 132 · see citing works
Blair, S., Duthie, G., Robertson, S., Hopkins, W., & Ball, K. (2018) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2018.03.031 · Cited by 117 · see citing works
On-field player workload exposure and knee injury risk monitoring via deep learning
Johnson, W. R., Mian, A., Lloyd, D. G., & Alderson, J. A. (2019) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2019.07.002 · Cited by 69 · see citing works
Bonnet, V., Mazzà, C., McCamley, J., & Cappozzo, A. (2013) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-10-29 · Cited by 32 · see citing works
Self-citation
- Authors
- Chiari, L., Croce, U. D., Leardini, A., & Cappozzo, A.
- Affiliations
- University of Bologna (IT)
- University of Sassari (IT)
- Istituto Ortopedico Rizzoli (IT)
- Foro Italico University of Rome (IT)
- Corresponding author
- Leardini, Alberto
- Venue
- Gait & Posture
- Publisher
- Elsevier BV
- Published
- 2005-02
- Volume
- 21
- Issue
- 2
- Pages
- 197-211
- ISSN
- 0966-6362 (ISSN-L)
- OpenAlex
- W2046121812
- Cited by
- 441
- References
- 0
- Citations by year
- 2026: 15 · 2025: 31 · 2024: 17 · 2023: 11 · 2022: 15 · 2021: 22 · 2020: 16 · 2019: 16 · 2018: 28 · 2017: 25 · 2016: 31 · 2015: 25 · 2014: 28 · 2013: 34 · 2012: 32
- FWCI
- 0.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Gait & Posture (publishedVersion)
- PubMed (publishedVersion)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
- UnissResearch (Università degli Studi di Sassari) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Optical measurement and interference techniques
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Measurement and Detection Methods
- Physical Sciences › Engineering › Biomedical Engineering › Lower Extremity Biomechanics and Pathologies
- Keywords
- stereophotogrammetry, human motion analysis, instrumental errors, error propagation, body segment kinematics, camera calibration, precision and accuracy
- MeSH terms
- Biomechanical Phenomena, Humans, Movement, Photogrammetry
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Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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