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

Autores
Ronchetti, Franco
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión enviada
Descripción
The 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.
Materia
Ingenierías y Tecnologías
Lenguaje de Signos Argentino (LSA)
automatic recognition
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/8580

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spelling Thesis Overview: Dynamic Gesture Recognition and its Application to Sign LanguageRonchetti, FrancoIngenierías y TecnologíasLenguaje de Signos Argentino (LSA)automatic recognitionThe 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.2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/submittedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/8580enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:39:50Zoai:digital.cic.gba.gob.ar:11746/8580Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-29 13:39:50.564CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv Thesis Overview: Dynamic Gesture Recognition and its Application to Sign Language
title Thesis Overview: Dynamic Gesture Recognition and its Application to Sign Language
spellingShingle Thesis Overview: Dynamic Gesture Recognition and its Application to Sign Language
Ronchetti, Franco
Ingenierías y Tecnologías
Lenguaje de Signos Argentino (LSA)
automatic recognition
title_short Thesis Overview: Dynamic Gesture Recognition and its Application to Sign Language
title_full Thesis Overview: Dynamic Gesture Recognition and its Application to Sign Language
title_fullStr Thesis Overview: Dynamic Gesture Recognition and its Application to Sign Language
title_full_unstemmed Thesis Overview: Dynamic Gesture Recognition and its Application to Sign Language
title_sort Thesis Overview: Dynamic Gesture Recognition and its Application to Sign Language
dc.creator.none.fl_str_mv Ronchetti, Franco
author Ronchetti, Franco
author_facet Ronchetti, Franco
author_role author
dc.subject.none.fl_str_mv Ingenierías y Tecnologías
Lenguaje de Signos Argentino (LSA)
automatic recognition
topic Ingenierías y Tecnologías
Lenguaje de Signos Argentino (LSA)
automatic recognition
dc.description.none.fl_txt_mv The 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.
description The 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.
publishDate 2017
dc.date.none.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/submittedVersion
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info:ar-repo/semantics/articulo
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dc.identifier.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/8580
url https://digital.cic.gba.gob.ar/handle/11746/8580
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
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instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
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repository.name.fl_str_mv CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
repository.mail.fl_str_mv marisa.degiusti@sedici.unlp.edu.ar
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