ArticleBMC musculoskeletal disorders2022
Reliability of a human pose tracking algorithm for measuring upper limb joints: comparison with photography-based goniometry.
Article in BMC musculoskeletal disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed.
- Concurrent validity and reliability of an artificial intelligence-assisted physiotherapy assessment system for maximal mouth opening, cervical, and shoulder range of motion in patients with oral cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Computer Vision for Movement Observation and Recovery Enhancement (C-MORE): Box and Blocks Test.Bioengineering (Basel, Switzerland) · 2026Article
- Development and evaluation of a vision pose-tracking based Beighton score tool for generalized joint hypermobility in individuals with suspected Ehlers-Danlos syndromes.Biomedical engineering online · 2026Article
- The Mobile Constant, a Self-Reported Method for Shoulder Function Evaluation: Development and Validation Study.Journal of medical Internet research · 2025Article
- How do visual and smartphone camera-based shoulder ranges of motion compare?JSES international · 2025Article
- Accuracy of the Automated Range of Motion Observer and Reporter Software for Fully Automated Joint Measurement From Patient Videos.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2025Article
- Multimodal analysis of mother-child interaction using hyperscanning and diffusion maps.Scientific reports · 2025Article
- Reliability and Validity Examination of a New Gait Motion Analysis System.Sensors (Basel, Switzerland) · 2025Article
- The Future of Clinical Active Shoulder Range of Motion Assessment, Best Practice, and Its Challenges: Narrative Review.Sensors (Basel, Switzerland) · 2025Review
- Orthopedic surgeon level joint angle assessment with artificial intelligence based on photography: a pilot study.Biomedical engineering letters · 2025Article
- Validity Analysis of Monocular Human Pose Estimation Models Interfaced with a Mobile Application for Assessing Upper Limb Range of Motion.Sensors (Basel, Switzerland) · 2024Article
- Validity and Reliability of OpenPose-Based Motion Analysis in Measuring Knee Valgus during Drop Vertical Jump Test.Journal of sports science & medicine · 2024Article
- Comparison of Shoulder Range of Motion Quantified with Mobile Phone Video-Based Skeletal Tracking and 3D Motion Capture-Preliminary Study.Sensors (Basel, Switzerland) · 2024Article
- Estimation of Vertical Ground Reaction Force during Single-leg Landing Using Two-dimensional Video Images and Pose Estimation Artificial Intelligence.Physical therapy research · 2024Article
- Automated, Vision-Based Goniometry and Range of Motion Calculation in Individuals With Suspected Ehlers-Danlos Syndromes/Generalized Hypermobility Spectrum Disorders: A Comparison of Pose-Estimation Libraries to Goniometric Measurements.IEEE journal of translational engineering in health and medicine · 2024Article
- The reliability and validity of joint range of motion measurement using zoom and a smartphone application.Journal of physical therapy science · 2023Article
- Digital health in musculoskeletal care: where are we heading?BMC musculoskeletal disorders · 2023Article
- A webcam-based machine learning approach for three-dimensional range of motion evaluation.PloS one · 2023Article
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10 authors.
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Abstract
backgroundRange of motion (ROM) measurements are essential for diagnosing and evaluating upper extremity conditions. Clinical goniometry is the most commonly used methods but it is time-consuming and skill-demanding. Recent advances in human tracking algorithm suggest potential for automatic angle measuring from RGB images. It provides an attractive alternative for at-distance measuring. However, the reliability of this method has not been fully established. The purpose of this study is to evaluate if the results of algorithm are as reliable as human raters in upper limb movements.
methodsThirty healthy young adults (20 males, 10 females) participated in this study. Participants were asked to performed a 6-motion task including movement of shoulder, elbow and wrist. Images of movements were captured by commercial digital cameras. Each movement was measured by a pose tracking algorithm (OpenPose) and compared with the surgeon-measurement results. The mean differences between the two measurements were compared. Pearson correlation coefficients were used to determine the relationship. Reliability was investigated by the intra-class correlation coefficients.
resultsComparing this algorithm-based method with manual measurement, the mean differences were less than 3 degrees in 5 motions (shoulder abduction: 0.51; shoulder elevation: 2.87; elbow flexion:0.38; elbow extension:0.65; wrist extension: 0.78) except wrist flexion. All the intra-class correlation coefficients were larger than 0.60. The Pearson coefficients also showed high correlations between the two measurements (p < 0.001).
conclusionsOur results indicated that pose estimation is a reliable method to measure the shoulder and elbow angles, supporting RGB images for measuring joint ROM. Our results presented the possibility that patients can assess their ROM by photos taken by a digital camera.
trial registrationThis study was registered in the Clinical Trials Center of The First Affiliated Hospital, Sun Yat-sen University (2021-387).
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