scholarly journals The WGD—A Dataset of Assembly Line Working Gestures for Ergonomic Analysis and Work-Related Injuries Prevention

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7600
Author(s):  
Christian Tamantini ◽  
Francesca Cordella ◽  
Clemente Lauretti ◽  
Loredana Zollo

This paper wants to stress the importance of human movement monitoring to prevent musculoskeletal disorders by proposing the WGD—Working Gesture Dataset, a publicly available dataset of assembly line working gestures that aims to be used for worker’s kinematic analysis. It contains kinematic data acquired from healthy subjects performing assembly line working activities using an optoelectronic motion capture system. The acquired data were used to extract quantitative indicators to assess how the working tasks were performed and to detect useful information to estimate the exposure to the factors that may contribute to the onset of musculoskeletal disorders. The obtained results demonstrate that the proposed indicators can be exploited to early detect incorrect gestures and postures and, consequently to prevent work-related disorders. The approach is general and independent on the adopted motion analysis system. It wants to provide indications for safely performing working activities. For example, the proposed WGD can also be used to evaluate the kinematics of workers in real working environments thanks to the adoption of unobtrusive measuring systems, such as wearable sensors through the extracted indicators and thresholds.

2020 ◽  
Vol 27 (9) ◽  
pp. 2577-2590
Author(s):  
Abiola Akanmu ◽  
Johnson Olayiwola ◽  
Oluwole Alfred Olatunji

PurposeCarpenters are constantly vulnerable to musculoskeletal disorders. Their work consists of subtasks that promote nonfatal injuries and pains that affect different body segments. The purpose of this study is to examine ergonomic exposures of carpentry subtasks involved in floor framing, how they lead to musculoskeletal injuries, and how preventive and protective interventions around them can be effective.Design/methodology/approachUsing wearable sensors, this study characterizes ergonomic exposures of carpenters by measuring and analyzing body movement data relating to major subtasks in carpentry flooring work. The exposures are assessed using Postural Ergonomic Risk Assessment classification, which is based on tasks involving repetitive subtasks and nonstatic postures.FindingsThe findings of this paper suggest severe risk impositions on the trunk, shoulder and elbow as a result of the measuring and marking and cutting out vent locations, as well as in placing and nailing boards into place.Research limitations/implicationsBecause of the type and size of wearable sensor used, only results of risk exposures of four body-parts are presented.Practical implicationsThis study draws insights on how to benchmark trade-specific measurement of work-related musculoskeletal disorders. Safety efforts can be targeted toward these risk areas and subtasks. Specifically, results from these will assist designers and innovators in designing effective and adaptable protective interventions and safety trainings.Originality/valueExtant studies have failed to provide adequate evidence regarding the relationships between subtasks and musculoskeletal disorders; they have only mimicked construction tasks through laboratory experimental scenarios. This study adds value to the existing literature, in particular by providing insights into hazards associated with floor carpentry subtasks.


Author(s):  
William A. Pereira ◽  
Pat Tittiranonda ◽  
Stephen R. Burastero

Two groups of movement retrained computer users with prior computer-related upper extremity musculoskeletal disorders underwent qualitative orthogonal video motion analysis. Ergonomic analysis of subjects' computer use habits suggests that movement retraining may decrease risk factors for work related musculoskeletal disorders and therefore warrants further study.


Author(s):  
Jose Antonio Diego-Mas

Job rotation is an administrative solution to prevent work-related musculoskeletal disorders that has become widespread. However, job rotation schedules development is a complex problem. This is due to the multi-factorial character of the disorders and to the productive and organizational constraints of the real working environments. To avoid these problems, this work presents an evolutionary algorithm to generate rotation schedules in which a set of workers rotate cyclically over a small number of jobs while reducing the potential for injury. The algorithm is able to generate rotation schedules that optimize multiple ergonomics criteria by clustering the tasks into rotation groups, selecting the workers for each group, and determining the sequence of rotation of the workers to minimize the effects of fatigue. The algorithm reduces prolonged exposure to risks related to musculoskeletal injuries and simplifies the assignment of workers to different tasks in each rotation. The presented procedure can be an effective tool for the design of job-rotation schedules that prevent work-related musculoskeletal disorders while simplifying scheduled changeovers at each rotation and facilitating job monitoring.


Author(s):  
Carlos Domingues Ascate Júnior ◽  
Mariana Sarmanho de Oliveira Lima ◽  
Jonas Gomes da Silva

In the face of numerous complaints about upper limb pain of employees involved with a printed circuit board (PCB) assembly line, there was a need to assess the level of Work-Related Musculoskeletal Disorders (WRMD). To solve this problem, the research aimed to perform an ergonomic analysis in a workstation of an assembly line of a company X of the Manaus Industrial Pole (PIM). Therefore, the risks of WRMD were evaluated and the problems faced were diagnosed, to propose improvement actions to adapt the work environment to the workers. With the aid of the Ergonomic Work Analysis (EWA) method and the Rapid Entire Body Assessment (REBA) method for the assessment of the risks of WRMD, it was found that the operator was subjected to an average risk of WRMD and that the intervention for resolution or risk minimization was required. The operator's complaints were a pain in the shoulders, arms, and neck. In the end, five recommendations were suggested to company managers to solve or mitigate the problem.


2017 ◽  
Vol 16 (2) ◽  
Author(s):  
Anita Rosifah ◽  
Susy Susmartini ◽  
Irwan Iftadi

<p><em>Observations made at work stations </em><em>of </em><em> batik cap</em><em> production,</em><em> there are still some working conditions that are not appropriate on the</em><em>ir</em><em> worker, one of which is unnatural posture. Unusual work postures that can trigger the occurrence of pain complaints such as musculoskeletal disorders (musculoskeletal disorders). Often unwittingly</em><em>,</em><em> batik workers work with positions or postures that have health risks such as musculoskeletal disorders (MSDs). Based on the observation seen that at the work station batik production there are </em><em>some </em><em>problems related work methods. Therefore, to improve which work station needs to be repaired, it is necessary to do risk assessment of batik production station work posture using Visual Management approach.</em></p><p><em>                    </em><em>The Visual Management approach in this study uses the ergonomic analysis method for the whole body of REBA (Rapid Entire Body Assessment) and OWAS (Ovako Working Posture Analysis System), upper limb RULA (Rapid Upper limb Assessment) and OCRA checklist and by adding some aspects Associated with overload and repetitiveness in the OCRA checklist and OWAS.</em></p><em>                Based on the assessment of work posture by visual management method, the result of OES value shows 3 processes with OES value ≤ 0.4 with accepted operational status and 2 process with OES value is in the range 0.4 &lt;OES ≤ 0.5, with operational status becomes' necessary further investigation, Changes may be required</em>


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