A first step towards a framework for interventions for individual working practice to prevent work-related musculoskeletal disorders: a scoping review
B van de Wijdeven, B Visser, J Daams… - BMC musculoskeletal …, 2023 - Springer
Background Work-related musculoskeletal disorders (WMSDs) are a key topic in
occupational health. In the primary prevention of these disorders, interventions to minimize …
occupational health. In the primary prevention of these disorders, interventions to minimize …
Measuring biomechanical risk in lifting load tasks through wearable system and machine-learning approach
I Conforti, I Mileti, Z Del Prete, E Palermo - Sensors, 2020 - mdpi.com
Ergonomics evaluation through measurements of biomechanical parameters in real time
has a great potential in reducing non-fatal occupational injuries, such as work-related …
has a great potential in reducing non-fatal occupational injuries, such as work-related …
The state of wearable health technologies: a transdisciplinary literature review
This review evaluated transdisciplinary empirical research on wearable health technologies
using the input-mechanism-output model and addressed a major concern relating to the …
using the input-mechanism-output model and addressed a major concern relating to the …
WEM-Platform: A real-time platform for full-body ergonomic assessment and feedback in manufacturing and logistics systems
This article presents a new real-time full-body ergonomic platform: the Workforce
Ergonomics and Management Platform (WEM-Platform). It provides ergonomic assessments …
Ergonomics and Management Platform (WEM-Platform). It provides ergonomic assessments …
[PDF][PDF] Assessment of a passive wearable robot for reducing low back disorders during rebar work.
Low back disorder continues to be prevalent amongst construction workers, especially the
rebar workers who are often engaged in repetitive stooping postures. Wearable robots …
rebar workers who are often engaged in repetitive stooping postures. Wearable robots …
Convolutional long short-term memory model for recognizing construction workers' postures from wearable inertial measurement units
This paper proposes using Deep Neural Networks (DNN) models for recognizing
construction workers' postures from motion data captured by wearable Inertial Measurement …
construction workers' postures from motion data captured by wearable Inertial Measurement …
Digital twin-driven framework for improving self-management of ergonomic risks
Purpose The physically-demanding and repetitive nature of construction work often exposes
workers to work-related musculoskeletal injuries. Real-time information about the ergonomic …
workers to work-related musculoskeletal injuries. Real-time information about the ergonomic …
Automated postural ergonomic risk assessment using vision-based posture classification
Construction workers are at high risk of work-related musculoskeletal disorders (WMSDs)
due to physically demanding manual-handling tasks in awkward postures. Although existing …
due to physically demanding manual-handling tasks in awkward postures. Although existing …
Applying incremental Deep Neural Networks-based posture recognition model for ergonomics risk assessment in construction
Monitoring and assessing awkward postures is a proactive approach for Musculoskeletal
Disorders (MSDs) prevention in construction. Machine Learning models have shown …
Disorders (MSDs) prevention in construction. Machine Learning models have shown …
A privacy-preserving and unobtrusive sitting posture recognition system via pressure array sensor and infrared array sensor for office workers
Sitting posture recognition is essential in preventing work-related musculoskeletal disorders
(WMSDs). WMSDs are of huge concern for office workers whose working process is …
(WMSDs). WMSDs are of huge concern for office workers whose working process is …