Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/30894
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dc.contributor.authorFerreira, S.-
dc.contributor.authorSouto, N.-
dc.contributor.authorPostolache, O.-
dc.contributor.editorFernando José da Silva Velez-
dc.date.accessioned2024-02-07T09:09:57Z-
dc.date.available2024-02-07T09:09:57Z-
dc.date.issued2019-
dc.identifier.citationFerreira, S., Souto, N., & Postolache, O. (2019). Mobile hand gesture recognition system for the Portuguese sign language. Em F. J. S. Velez (Eds.). Conftele 2019 : Proceedings of the 11th Conference on Telecommunications. [s.n.]. http://hdl.handle.net/10071/30894-
dc.identifier.isbn978-989-8152-17-6-
dc.identifier.urihttp://hdl.handle.net/10071/30894-
dc.description.abstractGesture Recognition is a fundamental technology nowadays. Not only is it applied in games and medicine, but also in Sign Language Translation. This tool assists the deaf community since it allows them to communicate with people who do not understand Sign Language. This paper describes the development of an automatic Translator of Portuguese Sign Language (PSL) which comprises a glove that is supported on wireless sensors, an android application and a machine learning algorithm to associate a gesture to a letter. A survey of all the related work is described, followed by a description of the architecture that is being implemented for this project.eng
dc.language.isoeng-
dc.publisher[s.n.]-
dc.relation.ispartofConftele 2019 : Proceedings of the 11th Conference on Telecommunications-
dc.rightsopenAccess-
dc.subjectPortuguese sign languageeng
dc.subjectWireless systemeng
dc.subjectGesture recognitioneng
dc.subjectHuman computer interactioneng
dc.subjectBluetootheng
dc.subjectMachine learningeng
dc.subjectAndroideng
dc.titleMobile hand gesture recognition system for the Portuguese sign languageeng
dc.typeconferenceObject-
dc.event.typeConferênciapt
dc.event.date2019-
dc.peerreviewedyes-
dc.date.updated2024-02-07T09:08:05Z-
dc.description.versioninfo:eu-repo/semantics/acceptedVersion-
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informaçãopor
dc.subject.fosDomínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologiaspor
dc.subject.fosDomínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapor
dc.subject.fosDomínio/Área Científica::Ciências Médicas::Biotecnologia Médicapor
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-101750-
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