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dc.contributor.author | González Alonso, Javier | |
dc.contributor.author | Simón Martínez, Cristina | |
dc.contributor.author | Antón Rodríguez, Miriam | |
dc.contributor.author | González Ortega, David | |
dc.contributor.author | Díaz Pernas, Francisco Javier | |
dc.contributor.author | Martínez Zarzuela, Mario | |
dc.date.accessioned | 2024-12-19T10:22:01Z | |
dc.date.available | 2024-12-19T10:22:01Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Safety Science, 2024, vol. 173, 106431 | es |
dc.identifier.issn | 0925-7535 | es |
dc.identifier.uri | https://uvadoc.uva.es/handle/10324/72876 | |
dc.description | Producción Científica | es |
dc.description.abstract | An end-to-end hardware-software pipeline is introduced to automatize ergonomics assessment in industrial workplaces. The proposed modular solution can interoperate with commercial systems throughout the ergonomics assessment phases involved in the process. The pipeline includes custom-designed Inertial Measurement Unit (IMU) sensors, two real-time worker movement acquisition tools, inverse kinematics processing and Rapid Upper Limb Assessment (RULA) report generation. It is based on free tools such as Unity3D and OpenSim to avoid the problems derived from using proprietary technologies, such as security decisions being made under “black box” conditions. Experiments were conducted in an automotive factory in a workplace with WMSDs risk among workers. The proposed solution obtained comparable results to a gold standard solution, reaching measured joint angles a 0.95 cross-correlation and a Root Mean Square Error (RMSE) lower than 10 for elbows and 12 for shoulders between both systems. In addition, the global RULA score difference is lower than 5 % between both systems. This work provides a low-cost solution for WMSDs risk assessment in the workplace to reduce musculoskeletal disorders and associated sick leave in industry, impacting the health of workers in the long term. Our study can ease further research and popularize the use of wearable systems for ergonomics analysis allowing these workplace prevention systems to reach different industrial environments. | es |
dc.format.mimetype | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject.classification | Biomechanics | es |
dc.subject.classification | Ergonomics | es |
dc.subject.classification | IMU | es |
dc.subject.classification | Industry 4.0 | es |
dc.subject.classification | OpenSim | es |
dc.subject.classification | RULA | es |
dc.title | Development of an end-to-end hardware and software pipeline for affordable and feasible ergonomics assessment in the automotive industry | es |
dc.type | info:eu-repo/semantics/article | es |
dc.rights.holder | © 2024 The Authors | es |
dc.identifier.doi | 10.1016/j.ssci.2024.106431 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0925753524000213 | es |
dc.identifier.publicationfirstpage | 106431 | es |
dc.identifier.publicationtitle | Safety Science | es |
dc.identifier.publicationvolume | 173 | es |
dc.peerreviewed | SI | es |
dc.description.project | Ministerio de Ciencia e Innovación (PID2021- 124515OA-I00) | es |
dc.description.project | Junta de Castilla y León-Consejería de Empleo e Industria (INVESTUN/21/VA/0003) | es |
dc.description.project | 061/196941 | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es |
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