ArticleScientific reports2022
Automatic real-time occupational posture evaluation and select corresponding ergonomic assessments.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.
What it found
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Who cites it
12 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Flexible Resistive Sensors for Wearable and Ergonomics Applications: A Systematic Review.Sensors (Basel, Switzerland) · 2026Pooled it
- Workplace Well-Being in Industry 5.0: A Worker-Centered Systematic Review.Sensors (Basel, Switzerland) · 2024Pooled it
- Transparency as a Means to Analyse the Impact of Inertial Sensors on Users during the Occupational Ergonomic Assessment: A Systematic Review.Sensors (Basel, Switzerland) · 2024Pooled it
- Article
- Process Phase Estimation and Deviation Detection for Manual Soldering Based on Motion Analysis.Biomimetics (Basel, Switzerland) · 2026Article
- Enhancing Work Efficiency and Safety Culture in the Food Industry Using Behavioral Patterns: A Video-Based Case Study from Poland.Foods (Basel, Switzerland) · 2026Article
- A Knee Rehabilitation Exercises Dataset for Postural Assessment using Wearable Devices.Scientific data · 2025Article
- Estimating hip impact velocity and acceleration from video-captured falls using a pose estimation algorithm.Scientific reports · 2025Article
- How accurately can we estimate spontaneous body kinematics from video recordings? Effect of movement amplitude on OpenPose accuracy.Behavior research methods · 2025Article
- Validation of computer vision-based ergonomic risk assessment tools for real manufacturing environments.Scientific reports · 2024Article
- Validity of AI-Based Gait Analysis for Simultaneous Measurement of Bilateral Lower Limb Kinematics Using a Single Video Camera.Sensors (Basel, Switzerland) · 2023Article
- Development of an assessment of bilateral locomotor efficacy for individuals post-stroke.Gait & posture · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The objective is to develop a system to automatically select the corresponding assessment scales and calculate the score of the risk based on the joint angle information obtained from the imaged process (OpenPose) via image-based motion capture technology. Current occupational assessments, for example, REBA, RULA, and OWAS were used to evaluate the risk of musculoskeletal disorders. However, the assessment result would not be reported immediately. Introducing real-time occupational assessments in different working environments will be helpful for occupational injury prevention. In this study, the decision tree was developed to select the most appropriate assessment method according to the joint angles derived by OpenPose image process. Fifteen operation videos were tested and these videos can be classified into six types including maintenance, handling, assembly, cleaning, office work, and driving. The selected ergonomic assessment method by our developed decision tree in each condition are consistent with the recommendation of the Labour Research Institute. Moreover, the high-risk posture could be identified immediately and provide to the inspector for further evaluation on this posture rather than the whole operation period. This approach provides a quick inspection of the operation movements to prevent musculoskeletal injuries and enhances the application of the scale assessment method in different industrial environments.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.