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A Systematic Review of the Accuracy, Validity, and Reliability of Markerless Versus Marker Camera-Based 3D Motion Capture for Industrial Ergonomic Risk Analysis
by
Faizan Khan, Muhammad
, Khafaga, Nouran
, Khan, Muhammad Ubaidullah
, Fontinovo, Eugenia
, Scataglini, Sofia
, Truijen, Steven
in
Accuracy
/ Biomechanical Phenomena
/ Cameras
/ Computer animation
/ Computer programs
/ ergonomic risk assessment
/ Ergonomics
/ Ergonomics - methods
/ Humans
/ Imaging, Three-Dimensional - methods
/ industrial workers
/ Kinematics
/ marker-based 3D motion capture
/ markerless 3D camera-based motion capture
/ Motion capture
/ Motion Capture - instrumentation
/ Motion Capture - methods
/ Musculoskeletal Diseases
/ Occupational Diseases
/ reliability
/ Reproducibility of Results
/ Risk assessment
/ Risk Assessment - methods
/ Systematic Review
/ Validity
2025
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A Systematic Review of the Accuracy, Validity, and Reliability of Markerless Versus Marker Camera-Based 3D Motion Capture for Industrial Ergonomic Risk Analysis
by
Faizan Khan, Muhammad
, Khafaga, Nouran
, Khan, Muhammad Ubaidullah
, Fontinovo, Eugenia
, Scataglini, Sofia
, Truijen, Steven
in
Accuracy
/ Biomechanical Phenomena
/ Cameras
/ Computer animation
/ Computer programs
/ ergonomic risk assessment
/ Ergonomics
/ Ergonomics - methods
/ Humans
/ Imaging, Three-Dimensional - methods
/ industrial workers
/ Kinematics
/ marker-based 3D motion capture
/ markerless 3D camera-based motion capture
/ Motion capture
/ Motion Capture - instrumentation
/ Motion Capture - methods
/ Musculoskeletal Diseases
/ Occupational Diseases
/ reliability
/ Reproducibility of Results
/ Risk assessment
/ Risk Assessment - methods
/ Systematic Review
/ Validity
2025
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A Systematic Review of the Accuracy, Validity, and Reliability of Markerless Versus Marker Camera-Based 3D Motion Capture for Industrial Ergonomic Risk Analysis
by
Faizan Khan, Muhammad
, Khafaga, Nouran
, Khan, Muhammad Ubaidullah
, Fontinovo, Eugenia
, Scataglini, Sofia
, Truijen, Steven
in
Accuracy
/ Biomechanical Phenomena
/ Cameras
/ Computer animation
/ Computer programs
/ ergonomic risk assessment
/ Ergonomics
/ Ergonomics - methods
/ Humans
/ Imaging, Three-Dimensional - methods
/ industrial workers
/ Kinematics
/ marker-based 3D motion capture
/ markerless 3D camera-based motion capture
/ Motion capture
/ Motion Capture - instrumentation
/ Motion Capture - methods
/ Musculoskeletal Diseases
/ Occupational Diseases
/ reliability
/ Reproducibility of Results
/ Risk assessment
/ Risk Assessment - methods
/ Systematic Review
/ Validity
2025
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A Systematic Review of the Accuracy, Validity, and Reliability of Markerless Versus Marker Camera-Based 3D Motion Capture for Industrial Ergonomic Risk Analysis
Journal Article
A Systematic Review of the Accuracy, Validity, and Reliability of Markerless Versus Marker Camera-Based 3D Motion Capture for Industrial Ergonomic Risk Analysis
2025
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Overview
Ergonomic risk assessment is crucial for preventing work-related musculoskeletal disorders (WMSDs), which often arise from repetitive tasks, prolonged sitting, and load handling, leading to absenteeism and increased healthcare costs. Biomechanical risk assessment, such as RULA/REBA, is increasingly being enhanced by camera-based motion capture systems, either marker-based (MBSs) or markerless systems (MCBSs). This systematic review compared MBSs and MCBSs regarding accuracy, validity, and reliability for industrial ergonomic risk analysis. A comprehensive search of PubMed, WoS, ScienceDirect, IEEE Xplore, and PEDro (31 May 2025) identified 898 records; after screening with PICO-based eligibility criteria, 20 quantitative studies were included. Methodological quality was assessed with the COSMIN Risk of Bias tool, synthesized using PRISMA 2020, and graded with EBRO criteria. MBSs showed the highest precision (0.5–1.5 mm error) and reliability (ICC > 0.90) but were limited by cost and laboratory constraints. MCBSs demonstrated moderate-to-high accuracy (5–20 mm error; mean joint-angle error: 2.31° ± 4.00°) and good reliability (ICC > 0.80), with greater practicality in field settings. Several studies reported strong validity for RULA/REBA prediction (accuracy up to 89%, κ = 0.71). In conclusion, MCBSs provide a feasible, scalable alternative to traditional ergonomic assessment, combining reliability with usability and supporting integration into occupational risk prevention.
Publisher
MDPI AG,Multidisciplinary Digital Publishing Institute (MDPI)
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