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000148915 005__ 20250123152145.0
000148915 0247_ $$2doi$$a10.3390/s21155139
000148915 0248_ $$2sideral$$a124861
000148915 037__ $$aART-2021-124861
000148915 041__ $$aeng
000148915 100__ $$0(orcid)0000-0003-4527-3267$$aMarín Boné, Javier$$uUniversidad de Zaragoza
000148915 245__ $$aForces: A Motion Capture-Based Ergonomic Method for the Today’s World
000148915 260__ $$c2021
000148915 5060_ $$aAccess copy available to the general public$$fUnrestricted
000148915 5203_ $$aApproximately three of every five workers are affected by musculoskeletal disorders, especially in production environments. In this regard, workstation ergonomic evaluations are especially beneficial for conducting preventive actions. Nevertheless, today’s context demonstrates that traditional ergonomic methods should lead to smart ergonomic methods. This document introduces the Forces ergonomic method, designed considering the possibilities of inertial motion capture technology and its applicability to evaluating actual workstations. This method calculates the joint risks for each posture and provides the total risk for the assessed workstation. In this calculation, Forces uses postural measurement and a kinetic estimation of all forces and torques that the joints support during movement. This paper details the method’s fundamentals to achieve structural validity, demonstrating that all parts that compose it are logical and well-founded. This method aims to aid prevention technicians in focusing on what matters: making decisions to improve workers’ health. Likewise, it aims to answer the current industry needs and reduce musculoskeletal disorders caused by repetitive tasks and lower the social, economic, and productivity losses that such disorders entail.
000148915 536__ $$9info:eu-repo/grantAgreement/ES/UZ/ID-ERGO Research group
000148915 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000148915 590__ $$a3.847$$b2021
000148915 591__ $$aCHEMISTRY, ANALYTICAL$$b29 / 87 = 0.333$$c2021$$dQ2$$eT2
000148915 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b19 / 64 = 0.297$$c2021$$dQ2$$eT1
000148915 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b95 / 274 = 0.347$$c2021$$dQ2$$eT2
000148915 592__ $$a0.803$$b2021
000148915 593__ $$aAnalytical Chemistry$$c2021$$dQ1
000148915 593__ $$aBiochemistry$$c2021$$dQ1
000148915 593__ $$aInstrumentation$$c2021$$dQ1
000148915 593__ $$aInformation Systems$$c2021$$dQ1
000148915 593__ $$aElectrical and Electronic Engineering$$c2021$$dQ1
000148915 594__ $$a6.4$$b2021
000148915 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000148915 700__ $$0(orcid)0000-0003-3223-1324$$aMarín Zurdo, José J.$$uUniversidad de Zaragoza
000148915 7102_ $$15002$$2720$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Proyectos de Ingeniería
000148915 773__ $$g21, 15 (2021), 5139 [30 pp.]$$pSensors$$tSensors$$x1424-8220
000148915 8564_ $$s5205384$$uhttps://zaguan.unizar.es/record/148915/files/texto_completo.pdf$$yVersión publicada
000148915 8564_ $$s2659940$$uhttps://zaguan.unizar.es/record/148915/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000148915 909CO $$ooai:zaguan.unizar.es:148915$$particulos$$pdriver
000148915 951__ $$a2025-01-23-14:47:00
000148915 980__ $$aARTICLE