148915 20250123152145.0 doi 10.3390/s21155139 sideral 124861 ART-2021-124861 eng Marín Boné, Javier Universidad de Zaragoza (orcid)0000-0003-4527-3267 Forces: A Motion Capture-Based Ergonomic Method for the Today’s World 2021 Approximately 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. Access copy available to the general public Unrestricted info:eu-repo/grantAgreement/ES/UZ/ID-ERGO Research group info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.847 2021 CHEMISTRY, ANALYTICAL 29 / 87 = 0.333 2021 Q2 T2 INSTRUMENTS & INSTRUMENTATION 19 / 64 = 0.297 2021 Q2 T1 ENGINEERING, ELECTRICAL & ELECTRONIC 95 / 274 = 0.347 2021 Q2 T2 0.803 2021 Analytical Chemistry 2021 Q1 Biochemistry 2021 Q1 Instrumentation 2021 Q1 Information Systems 2021 Q1 Electrical and Electronic Engineering 2021 Q1 6.4 2021 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Marín Zurdo, José J. Universidad de Zaragoza (orcid)0000-0003-3223-1324 5002 720 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Proyectos de Ingeniería 21, 15 (2021), 5139 [30 pp.] Sensors Sensors 1424-8220 5205384 http://zaguan.unizar.es/record/148915/files/texto_completo.pdf Versión publicada 2659940 http://zaguan.unizar.es/record/148915/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:148915 articulos driver 2025-01-23-14:47:00 ARTICLE