User-Centric Workflow Ergonomics in Industrial Environments: Concept and Architecture of an Assistance System

Valentin, Christina Di; Emrich, Andreas; Werth, Dirk; Loos, Peter

doi:10.1109/csci.2015.116

Cited by 7 publications

(7 citation statements)

References 15 publications

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“… 3.1.3.3 97 ) Portugal 2015 Application of QEC, REBA, and the OWAS in workers in tasks related to electric and electronic equipment. 3.1.3.7 98 ) Germany 2015 Use of body sensors to ergonomic analysis on industry, allowing OWAS and EAWS assessments. 3.1.3.7 85 ) Turkey 2015 Application of the OWAS in workers producing materials for tyres.…”

Section: Resultsmentioning

confidence: 99%

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Musculoskeletal disorders: OWAS review

et al. 2017

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The prevention of musculoskeletal disorders (MSD) is very important in the world. Governments and companies are the most interested. The objective of the present work is to review the literature on the applications of the OWAS method in the diverse sectors or fields of knowledge and countries from its publication to March 2017. The use of OWAS method has been classified by categories of knowledge, by country and by year. The search was made by selecting only the main collection of the Web of Science. This was selected by the option “Advanced search” using the term OWAS (ts=OWAS) for the time period of 1900 to 2017. A total of 166 results were found, consisting of conference papers and articles in scientific journals. In conclusion, the OWAS has been applied mainly in two sectors: “Manufacturing industries” and “Healthcare and Social assistance activities”. This method needs to be complemented with other indirect or direct methods. Also, whenever the OWAS has been used, whether individually or together with other methods, musculoskeletal disorders risks have been detected, this perhaps being an indicator to review the evaluation parameters because overestimating the risk.

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Section: Resultsmentioning

confidence: 99%

“…Also in the industrial sector, Di Valentin et al 98 ) developed a system to make ergonomic evaluations to workers by using sensors on their bodies, so that, they got immediate results about the performed postures. With this system, evaluations of methods like OWAS and EAWS were possible.…”

Section: Resultsmentioning

confidence: 99%

Musculoskeletal disorders: OWAS review

et al. 2017

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“…Operators in a manufacturing shop floor are often required to undertake manual handling activities. These activities, which include lifting, lowering and carrying (Shoaf et al 1997), if not ergonomically executed, can result in risks that may lead to WMSDs and greatly limit worker's life and health (Valentin et al 2015;Savino, et. al., 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Attributes of good feedback systems include simplicity, legibility, transparency, and customizability (Claypoole, Schroeder, and Mishler 2016). Interestingly, research suggests that established feedback systems such as the Ovako Working Posture Analysis System (OWAS), were not designed in an easy-to-understand, ergonomic-friendly way (Valentin et al 2015). In the assessment of ergonomic risk factors on the shop floor, a natural and interactive interface that provides good feedback to the users is of utmost importance (Aromaa and Väänänen 2016) and the design of this interface should capture the most important elements of the system so that both the expert and the novice staff would have a greater capacity to participate (Hoarau, Charron, and Mars 2014).…”

Section: Introductionmentioning

confidence: 99%

“…Instrument-based tools assess work postures using instruments (Kee and Karwowski 2007). Currently available instrument-based postural assessment feedback systems require workers to wear inconvenient measurement devices which interfere with work methods (Valentin et al 2015;IFA-CUELA 2016;Manghisi et al 2016;Plantard et al 2015), fail to provide real-time feedback (WSH Institute 2016), requires substantial user training (Center for Ergonomics), or are difficult to use as they require experts to perform time consuming posture analysis (Manghisi et al 2016). Again these tools are not suitable for many work places due to space, cost and calibration limitations (Haggag et al 2013).…”

Section: Introductionmentioning

confidence: 99%

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Design and implementation of ergonomic risk assessment feedback system for improved work posture assessment

Mgbemena

Oyekan

Hutabarat

et al. 2017

Theoretical Issues in Ergonomics Science

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Ergonomic risk factors which include force, repetition and awkward postures, can result in Work-Related Musculoskeletal Disorders (WMSDs) among workers. Hence, systems that provide real-time feedback to the worker concerning his current ergonomic behaviours are desirable. This paper presents the design and implementation of a human-machine interface posture assessment feedback system whose conceptual model is developed through a model-driven development perspective using the UML and Interface flow diagrams. The resulting system provides a shop floor with a simple, costeffective and automatic tool for real-time display of worker's postures. Testing the system on volunteer participants reveals that it is easy to use, achieves real-time posture assessment and provides easy-to-understand feedback to workers. This system may be useful for reducing the rate of occurrence of awkward postures, one of the contributing factors to risk of WMSDs among workers.

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