Prediction of slaughterhouse workers' RULA scores and knife edge using low-cost inertial measurement sensor units and machine learning algorithms

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dc.contributor.authorVillalobos, Adolfo
dc.contributor.authorMac Cawley, Alejandro
dc.date.accessioned2024-01-10T14:22:56Z
dc.date.available2024-01-10T14:22:56Z
dc.date.issued2022
dc.description.abstractThe high prevalence of work-related musculoskeletal disorders (WRMSDs) has been a concern in the meatprocessing industry, owing to the manual nature of the work and the high upper-limb and neck exposure to movements that can lead to WRMSD. The ability to perform an accurate and fast assessment of WRMSDs remains a challenge in industrial environments. Most assessment methodologies rely on standard survey-based methods, which are time- and labor-intensive. In this paper, we present an application of inertial measurement units (IMUs) to measure human activity, and the use of artificial intelligence and machine learning techniques to perform task classification and ergonomic assessments in workplace settings. We present the results obtained by using simple low-cost IMUs worn on slaughterhouse worker wrists to capture information on their movements. We describe the use of this information to detect the risk factors of the wrists/hands that can lead to WRMSDs. The results indicate that by using low-cost IMU-based sensors on the wrists of slaughterhouse workers, we can accurately classify the sharpness of the knife and predict the worker RULA score.
dc.description.funderANID through the FONDECYT Iniciacion Project
dc.fechaingreso.objetodigital20-03-2024
dc.format.extent8 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.apergo.2021.103556
dc.identifier.eissn1872-9126
dc.identifier.issn0003-6870
dc.identifier.pubmedidMEDLINE:34419785
dc.identifier.urihttps://doi.org/10.1016/j.apergo.2021.103556
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/80020
dc.identifier.wosidWOS:000704348200014
dc.information.autorucFacultad de Ingeniería; Mac Cawley Vergara, Alejandro Francisco; S/I; 81775
dc.language.isoen
dc.nota.accesocontenido parcial
dc.publisherELSEVIER SCI LTD
dc.revistaAPPLIED ERGONOMICS
dc.rightsacceso restringido
dc.subjectWork-related musculoskeletal disorders
dc.subjectMachine learning
dc.subjectSensors
dc.subjectRULA scores
dc.subjectSlaughterhouse workers
dc.subjectMUSCULOSKELETAL DISORDERS
dc.subjectSHARPNESS
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titlePrediction of slaughterhouse workers' RULA scores and knife edge using low-cost inertial measurement sensor units and machine learning algorithms
dc.typeartículo
dc.volumen98
sipa.codpersvinculados81775
sipa.indexWOS
sipa.trazabilidadCarga SIPA;09-01-2024
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