Dynamic Gesture Recognition and its Application to Sign Language

Autores
Ronchetti, Franco
Año de publicación
2017
Idioma
inglés
Tipo de recurso
reseña artículo
Estado
versión publicada
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.
Tesis defendida el 23 de marzo de 2017 para obtener el título de Doctor en Ciencias Informáticas (UNLP).
Es revisión de: http://sedici.unlp.edu.ar/handle/10915/59330
Facultad de Informática
Materia
Ciencias Informáticas
Lenguaje de Signos Argentino (LSA)
automatic recognition
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/62945
Acceder
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network_name_str SEDICI (UNLP)
spelling Dynamic Gesture Recognition and its Application to Sign LanguageRonchetti, FrancoCiencias InformáticasLenguaje 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.Tesis defendida el 23 de marzo de 2017 para obtener el título de Doctor en Ciencias Informáticas (UNLP).Es revisión de: http://sedici.unlp.edu.ar/handle/10915/59330Facultad de Informática2017-10info:eu-repo/semantics/reviewinfo:eu-repo/semantics/publishedVersionRevisionhttp://purl.org/coar/resource_type/c_dcae04bcinfo:ar-repo/semantics/resenaArticuloapplication/pdf154-155http://sedici.unlp.edu.ar/handle/10915/62945enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/2017/10/JCST-45-Paper-8.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/4.0/Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:00:43Zoai:sedici.unlp.edu.ar:10915/62945Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:00:43.383SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Dynamic Gesture Recognition and its Application to Sign Language
title Dynamic Gesture Recognition and its Application to Sign Language
spellingShingle Dynamic Gesture Recognition and its Application to Sign Language
Ronchetti, Franco
Ciencias Informáticas
Lenguaje de Signos Argentino (LSA)
automatic recognition
title_short Dynamic Gesture Recognition and its Application to Sign Language
title_full Dynamic Gesture Recognition and its Application to Sign Language
title_fullStr Dynamic Gesture Recognition and its Application to Sign Language
title_full_unstemmed Dynamic Gesture Recognition and its Application to Sign Language
title_sort 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 Ciencias Informáticas
Lenguaje de Signos Argentino (LSA)
automatic recognition
topic Ciencias Informáticas
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.
Tesis defendida el 23 de marzo de 2017 para obtener el título de Doctor en Ciencias Informáticas (UNLP).
Es revisión de: http://sedici.unlp.edu.ar/handle/10915/59330
Facultad de Informática
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 2017-10
dc.type.none.fl_str_mv info:eu-repo/semantics/review
info:eu-repo/semantics/publishedVersion
Revision
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info:ar-repo/semantics/resenaArticulo
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status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/62945
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dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/issn/1666-6038
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/4.0/
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/4.0/
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
dc.format.none.fl_str_mv application/pdf
154-155
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
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reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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