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Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/73837
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dc.contributor.authorGalván Ruiz, Jesúsen_US
dc.contributor.authorTravieso-González, Carlos M.en_US
dc.contributor.authorTejera-Fettmilch, Acaymoen_US
dc.contributor.authorPinan-Roescher, Alejandroen_US
dc.contributor.authorEsteban-Hernández, Luisen_US
dc.contributor.authorDomínguez Quintana, Luisen_US
dc.date.accessioned2020-07-28T10:00:36Z-
dc.date.available2020-07-28T10:00:36Z-
dc.date.issued2020en_US
dc.identifier.issn1424-8220en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/73837-
dc.description.abstractThis review analyses the different gesture recognition systems through a timeline, showing the different types of technology, and specifying which are the most important features and their achieved recognition rates. At the end of the review, Leap Motion sensor possibilities are described in detail, in order to consider its application on the field of sign language. This device has many positive characteristics that make it a good option for sign language. One of the most important conclusions is the ability of the Leap Motion sensor to provide 3D information from the hands for due identification.en_US
dc.languageengen_US
dc.relation.ispartofSensorsen_US
dc.sourceSensors (Switzerland) [ISSN 1424-8220], v. 20 (12), 3571, (Junio 2020)en_US
dc.subject220990 Tratamiento digital. Imágenesen_US
dc.subject.otherAlgorithmsen_US
dc.subject.otherEMGen_US
dc.subject.otherGesture Recognitionen_US
dc.subject.otherGlovesen_US
dc.subject.otherLeap Motionen_US
dc.subject.otherPattern Recognitionen_US
dc.subject.otherRFIDen_US
dc.subject.otherWi-Fien_US
dc.titlePerspective and evolution of gesture recognition for sign language: a reviewen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/s20123571en_US
dc.identifier.scopus85086820832-
dc.contributor.authorscopusid57217224492-
dc.contributor.authorscopusid57201316633-
dc.contributor.authorscopusid57217224559-
dc.contributor.authorscopusid57217224991-
dc.contributor.authorscopusid57215532908-
dc.contributor.authorscopusid57217225656-
dc.description.lastpage31en_US
dc.identifier.issue12-
dc.description.firstpage1en_US
dc.relation.volume20en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.description.notasThis article belongs to the Section State-of-the-Art Sensors Technologiesen_US
dc.utils.revisionSíen_US
dc.date.coverdateJunio 2020en_US
dc.identifier.ulpgcSíen_US
dc.contributor.buulpgcBU-TELen_US
dc.description.sjr0,636
dc.description.jcr3,576
dc.description.sjrqQ2
dc.description.jcrqQ2
dc.description.scieSCIE
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptGIR IUIBS: Tecnología Médica y Audiovisual-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.orcid0000-0002-4621-2768-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.fullNameGalván Ruiz, Jesús-
crisitem.author.fullNameTravieso González, Carlos Manuel-
crisitem.author.fullNameDomínguez Quintana,Luis-
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