Thesis Overview: Dynamic Gesture Recognition and its Application to Sign Language

cic.institucionOrigenInstituto de Investigación en Informáticaes
cic.isFulltexttruees
cic.isPeerReviewedtruees
cic.lugarDesarrolloInstituto de Investigación en Informáticaes
cic.versioninfo:eu-repo/semantics/submittedVersiones
dc.date.accessioned2018-11-13T14:36:04Z
dc.date.available2018-11-13T14:36:04Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/8580
dc.titleThesis Overview: Dynamic Gesture Recognition and its Application to Sign Languageen
dc.typeArtículoes
dcterms.abstractThe automatic recognition of human gestures is a complex multidisciplinary problem that has not yet been completely solved. Since the advent of digital video capture technologies, there have been attempts to recognize dynamic gestures for different purposes. In the recent years, new technologies such as depth sensors or highresolution cameras were incorporated as well as the high processing capacity of the current devices emerged, allowing the new technologies development capable of detecting different movements and acting in real time. Unlike the recognition of the spoken voice, which has been researched for more than forty years, the topic of this thesis is relatively new in the scientific area and it evolves rapidly as new devices appear as well as new computer vision algorithms.en
dcterms.creator.authorRonchetti, Francoes
dcterms.extentp. 154-155es
dcterms.identifier.urlRecurso Completoes
dcterms.isPartOf.issuevol. 17, no. 2es
dcterms.isPartOf.seriesJournal of Computer Science and Technologyes
dcterms.issued2017
dcterms.languageIngléses
dcterms.licenseAttribution 4.0 International (BY 4.0)es
dcterms.subjectLenguaje de Signos Argentino (LSA)es
dcterms.subjectautomatic recognitionen
dcterms.subject.materiaIngenierías y Tecnologíases

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