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Worker 4.0: A textile exoskeleton to support apparel industry

dc.contributor.authorOliveira, João
dc.contributor.authorCosta, Luani
dc.contributor.authorRamôa, Ana
dc.contributor.authorSilva, Ricardo
dc.contributor.authorFertuzinhos, Aureliano
dc.contributor.authorEstudante, Inês
dc.contributor.authorPinheiro, João
dc.contributor.authorVale, Bruno
dc.contributor.authorPilastri, André
dc.contributor.authorDias, Paula
dc.contributor.authorMatta, Arthur
dc.contributor.authorSampaio, Rosane
dc.contributor.authorMachado, Dário
dc.contributor.authorCortez, Paulo
dc.contributor.authorCosta, Marta
dc.contributor.authorRoças, Ana
dc.contributor.authorMadureira, Pedro
dc.contributor.authorMoreira, Juliana
dc.contributor.authorPereira, João Rui
dc.contributor.authorPereira, Carla
dc.contributor.authorBruno, Fernando
dc.date.accessioned2024-11-14T12:15:37Z
dc.date.available2024-11-14T12:15:37Z
dc.date.issued2023-07
dc.description.abstractSTVgoDigital project aims the transition of the textile and apparel industries to the new Industry 4.0 paradigm promoting the digitalization to increase productivity and efficiency of the entire value chain. Specifically, the PPS4 Worker 4.0 aims to develop an exoskeleton solution based on sensing and active components within a garment to support sewing operation movements that may cause injuries and/or pain in sewing machine workers. Seamstresses’ work requires physical efforts related to poor posture and repetitive tasks that increase the risk of developing musculoskeletal disorders. In a general context, in industrial environments have been implemented lower and upper limb devices empowered for human ergonomic improvement, due to the high prevalence of postural complaints and consequently pain. With this, much has been developed in the realm of exoskeletons and artificial muscles aimed at various situations. To achieve the objectives of developing an exoskeleton that integrates a sensing component that monitors workers’ movements in real-time, identifying its ergonomic posture, feeds the actuation component, and uses machine learning algorithms to predict future ergonomic risks in a wearable, light, and flexible garment to support the execution of movements inherent to some professional activities, this research was based on an ergonomic risk assessment and definition of performance parameters, the definition of the architecture system and the wearable garment, and in the construction of prototypes and analysis in a laboratory environment with seamstress’ volunteers.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationOliveira, J. N., Costa, L., Ramôa, A., Silva, R., Fertuzinhos, A., Vale, B., Estudante, I., Pinheiro, J., Pilastri, A., Dias, P., Matta, A., Sampaio, R., Machado, D., Cortez, P., Costa, M., Roças, A., Madureira, P., Moreira, J., Pereira, J., … Pereira, F. (2023). Worker 4.0: A textile exoskeleton to support apparel industry. Proceedings of the 14th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences, 86(86), 20–28. https://doi.org/10.54941/ahfe1003636pt_PT
dc.identifier.doi10.54941/ahfe1003636pt_PT
dc.identifier.issn978-1-958651-62-9
dc.identifier.urihttp://hdl.handle.net/10400.22/26387
dc.language.isospapt_PT
dc.publisherAHFEpt_PT
dc.relation.publisherversionhttps://openaccess.cms-conferences.org/publications/book/978-1-958651-62-9/article/978-1-958651-62-9_2pt_PT
dc.subjectTextile-based exoskeletonpt_PT
dc.subjectErgonomic risk assessmentpt_PT
dc.subjectSewing machine workerspt_PT
dc.subjectArtificial musclespt_PT
dc.subjectTextile and apparel industriespt_PT
dc.titleWorker 4.0: A textile exoskeleton to support apparel industrypt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceSan Francisco, USApt_PT
oaire.citation.endPage28pt_PT
oaire.citation.startPage20pt_PT
oaire.citation.titleProceedings of the 14th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences / Human Factors for Apparel and Textile Engineeringpt_PT
oaire.citation.volume86pt_PT
person.familyNameSantos Moreira
person.givenNameJuliana
person.identifier.ciencia-idF217-BF1E-8507
person.identifier.orcid0000-0003-0123-4960
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication574f928e-bf87-4e65-8396-ae884fa7e544
relation.isAuthorOfPublication.latestForDiscovery574f928e-bf87-4e65-8396-ae884fa7e544

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