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Designing a web-based automatic ergonomic assessment using motion data

Authors:

Brenda E. Olivas Padilla,

Alina Glushkova,

Dimitrios Menychtas,

Sotiris ManitsarisAuthors Info & Claims

PETRA '19: Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments

Pages 528 - 534

https://doi.org/10.1145/3316782.3322758

Published: 05 June 2019 Publication History

Abstract

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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Cited By

Tahir ABai SShen M(2023)A Wearable Multi-Modal Digital Upper Limb Assessment System for Automatic Musculoskeletal Risk EvaluationSensors10.3390/s2310486323:10(4863)Online publication date: 18-May-2023
https://doi.org/10.3390/s23104863
Carnazzo CSpada SLamacchia SManuri FSanna ACavatorta M(2023)Real-Time Data Analysis and 3D Representation for Postural Assessment in Manufacturing ProcessesErgonomics and Nudging for Health, Safety and Happiness10.1007/978-3-031-28390-1_13(124-132)Online publication date: 17-Mar-2023
https://doi.org/10.1007/978-3-031-28390-1_13
Kratzke IZhou GMosaly PFarrell TCrowner JYu D(2022)Evaluating the Ergonomics of Surgical Residents During Laparoscopic Simulation: A Novel Computerized ApproachThe American Surgeon™10.1177/0003134821104750589:5(1622-1628)Online publication date: 19-Jan-2022
https://doi.org/10.1177/00031348211047505
Show More Cited By

Index Terms

Designing a web-based automatic ergonomic assessment using motion data
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems
2. Human-centered computing
  1. Visualization
    1. Visualization systems and tools

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PETRA '19: Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments

June 2019

655 pages

ISBN:9781450362320

DOI:10.1145/3316782

Conference Chair:
Fillia Makedon
University of Texas at Arlington

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 June 2019

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PETRA '19

PETRA '19: The 12th PErvasive Technologies Related to Assistive Environments Conference

June 5 - 7, 2019

Rhodes, Greece

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Cited By

Tahir ABai SShen M(2023)A Wearable Multi-Modal Digital Upper Limb Assessment System for Automatic Musculoskeletal Risk EvaluationSensors10.3390/s2310486323:10(4863)Online publication date: 18-May-2023
https://doi.org/10.3390/s23104863
Carnazzo CSpada SLamacchia SManuri FSanna ACavatorta M(2023)Real-Time Data Analysis and 3D Representation for Postural Assessment in Manufacturing ProcessesErgonomics and Nudging for Health, Safety and Happiness10.1007/978-3-031-28390-1_13(124-132)Online publication date: 17-Mar-2023
https://doi.org/10.1007/978-3-031-28390-1_13
Kratzke IZhou GMosaly PFarrell TCrowner JYu D(2022)Evaluating the Ergonomics of Surgical Residents During Laparoscopic Simulation: A Novel Computerized ApproachThe American Surgeon™10.1177/0003134821104750589:5(1622-1628)Online publication date: 19-Jan-2022
https://doi.org/10.1177/00031348211047505
Lin PChen YChen WLee Y(2022)Automatic real-time occupational posture evaluation and select corresponding ergonomic assessmentsScientific Reports10.1038/s41598-022-05812-912:1Online publication date: 8-Feb-2022
https://doi.org/10.1038/s41598-022-05812-9
Beese NRodriguez FSpilski JLachmann T(2021)Development of a Digital Video-Based Occupational Risk Assessment MethodFrontiers in Public Health10.3389/fpubh.2021.6838509Online publication date: 10-Jun-2021
https://doi.org/10.3389/fpubh.2021.683850
Bavaresco RArruda HRocha EBarbosa JLi G(2021)Internet of Things and occupational well-being in industry 4.0Computers and Industrial Engineering10.1016/j.cie.2021.107670161:COnline publication date: 1-Nov-2021
https://dl.acm.org/doi/10.1016/j.cie.2021.107670
Huang CKim WZhang YXiong S(2020)Development and Validation of a Wearable Inertial Sensors-Based Automated System for Assessing Work-Related Musculoskeletal Disorders in the WorkspaceInternational Journal of Environmental Research and Public Health10.3390/ijerph1717605017:17(6050)Online publication date: 20-Aug-2020
https://doi.org/10.3390/ijerph17176050
AKSÜT GEREN TTÜFEKÇİ M(2020)ERGONOMİK RİSK FAKTÖRLERİNİN SINIFLANDIRILMASI: BİR LİTERATÜR TARAMASIErgonomi10.33439/ergonomi.7738963:3(169-192)Online publication date: 15-Dec-2020
https://doi.org/10.33439/ergonomi.773896

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