ArticleSensors (Basel, Switzerland)2021
Wearable Inertial Measurement Unit Sensing System for Musculoskeletal Disorders Prevention in Construction.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07157800 (Effectiveness of Exercises Given Along With Ergonomics Training in Construction Workers), which is not on this map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effectiveness of Exercises Given Along With Ergonomics Training in Construction Workers: A Randomized Controlled Trial
Who cites it
13 citing papers in PubMed, 52 citations in OpenAlex.
- Computer-Vision-Enabled Worker Video Analysis for Motion Amount Quantification.Sensors (Basel, Switzerland) · 2026Article
- Ergo4Workers: A User-Centred App for Tracking Posture and Workload in Healthcare Professionals.Sensors (Basel, Switzerland) · 2025Article
- Review
- ErgoReport: A Holistic Posture Assessment Framework Based on Inertial Data and Deep Learning.Sensors (Basel, Switzerland) · 2025Article
- Article
- SDES-YOLO: A high-precision and lightweight model for fall detection in complex environments.Scientific reports · 2025Article
- Reliability and Accuracy of Standard Reference Procedures for Measurements of Trunk and Arm Postures in Ergonomics.Bioengineering (Basel, Switzerland) · 2025Article
- A Novel IMU-Based System for Work-Related Musculoskeletal Disorders Risk Assessment.Sensors (Basel, Switzerland) · 2024Article
- Digital Innovations for Occupational Safety: Empowering Workers in Hazardous Environments.Workplace health & safety · 2024Review
- A Low-Cost Inertial Measurement Unit Motion Capture System for Operation Posture Collection and Recognition.Sensors (Basel, Switzerland) · 2024Article
- Inertial Sensor Technologies-Their Role in Equine Gait Analysis, a Review.Sensors (Basel, Switzerland) · 2023Review
- Wearable Motion Capture Devices for the Prevention of Work-Related Musculoskeletal Disorders in Ergonomics-An Overview of Current Applications, Challenges, and Future Opportunities.Sensors (Basel, Switzerland) · 2023Review
- Development of a Novel Approach for Detection of Equine Lameness Based on Inertial Sensors: A Preliminary Study.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Construction workers executing manual-intensive tasks are susceptible to musculoskeletal disorders (MSDs) due to overexposure to awkward postures. Automated posture recognition and assessment based on wearable sensor output can help reduce MSDs risks through early risk-factor detection. However, extant studies mainly focus on optimizing recognition models. There is a lack of studies exploring the design of a wearable sensing system that assesses the MSDs risks based on detected postures and then provides feedback for injury prevention. This study aims at investigating the design of an effective wearable MSDs prevention system. This study first proposes the design of a wearable inertial measurement unit (IMU) sensing system, then develops the prototype for end-user evaluation. Construction workers and managers evaluated a proposed system by interacting with wearable sensors and user interfaces (UIs), followed by an evaluation survey. The results suggest that wearable sensing is a promising approach for collecting motion data with low discomfort; posture-based MSDs risk assessment has a high potential in improving workers' safety awareness; and mobile- and cloud-based UIs can deliver the risk assessment information to end-users with ease. This research contributes to the design, development, and validation of wearable sensing-based injury prevention systems, which may be adapted to other labor-intensive occupations.
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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.