Ergonomics Evaluation Methods

Berlin, Cecilia; Adams, Caroline

doi:10.5334/bbe.h

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…The next technique is by observation; the observational method is a heuristic evaluation based on conventional knowledge and is the most commonly used in industry and other sectors [7,29]. The work tasks are evaluated according to accepted standards based on theoretical knowledge of human physical limitations and abilities [3]. For example, the ISO 11226:2000 and EN 1005-4 define acceptable angles and holding times of working postures, as well as guidance for assessing machine-related postures and body movements.…”

Section: Ergonomic Assessment Methodsmentioning

confidence: 99%

Designing a web-based automatic ergonomic assessment using motion data

Padilla¹,

Glushkova²,

Menychtas³

et al. 2019

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments

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Manual laborers from the industry sector are often subject to critical physical strain that lead to work-related musculoskeletal disorders. Lifting, poor posture and repetitive movements are among the causes of these disorders. In order to prevent them, several rules and methods have been established to identify ergonomic risks that the worker might be exposed during his/her activities. However, the ergonomic assessment though these methods is not a trivial task and a relevant degree of theoretical knowledge on the part of the analyst is necessary. Therefore in this paper, a web-based automatic ergonomic assessment module is proposed. The proposed module uses segment rotations acquired from inertial measurement units for the assessment and provides as feedback RULA scores, color visualisation and limb angles in a simple, intuitive and meaningful way. RULA is one of the most used observational methods for assessment of occupational risk factors for upper-extremity musculoskeletal disorders. By automatizing RULA an interesting perspective for extracting posture analytics for ergonomic assessment is opened, as well as the inclusion of new features that may complement it. For future work, the use of other features and sensors will be investigated for its implementation on the module.

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Section: Ergonomic Assessment Methodsmentioning

confidence: 99%

Designing a web-based automatic ergonomic assessment using motion data

Padilla¹,

Glushkova²,

Menychtas³

et al. 2019

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments

View full text Add to dashboard Cite

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How Ergonomic Evaluations Influence the Risk of Musculoskeletal Disorders in the Industrial Context? A Brief Literature Review

Pimparel

Madaleno

Ollay

et al. 2021

Studies in Systems, Decision and Control

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Hidden Markov Modelling And Recognition Of Euler-Based Motion Patterns For Automatically Detecting Risks Factors From The European Assembly Worksheet

Padilla

Menychtas

Glushkova

et al. 2020

2020 IEEE International Conference on Image Processing (ICIP)

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To prevent work-related musculoskeletal disorders (WMSD) the ergonomists apply manual heuristic methods to determine when the worker is exposed to risk factors. However, these methods require an observer and the results can be subjective. This paper proposes a method to automatically evaluate the ergonomic risk factors when performing a set of postures from the ergonomic assessment worksheet (EAWS). Joint angle motion data have been recorded with a full-body motion capture system. These data modeled the motion patterns of four different risk factors, with the use of hidden Markov models (HMMs). Based on the EAWS, automated scores were assigned by the HMMs and were compared to the scores calculated manually. Because the method proposed here is intrusive and requires expensive equipment, kinematic data from a reduced set of two sensors was also evaluated.

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Ergonomics Evaluation Methods

Abstract: (AFS 2015:4Eng), provisions (in English) https://www.av.se/globalassets/filer/publikationer/foreskrifter/engelska/organisationaland-social-work-environment-afs2015-4.pdf

Cited by 3 publications

References 6 publications

Designing a web-based automatic ergonomic assessment using motion data

Designing a web-based automatic ergonomic assessment using motion data

How Ergonomic Evaluations Influence the Risk of Musculoskeletal Disorders in the Industrial Context? A Brief Literature Review

Hidden Markov Modelling And Recognition Of Euler-Based Motion Patterns For Automatically Detecting Risks Factors From The European Assembly Worksheet

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