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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/62945
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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:UNLP2025-09-29T11:08:14Zoai: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:13292025-09-29 11:08:15.206SEDICI (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 http://purl.org/coar/resource_type/c_dcae04bc info:ar-repo/semantics/resenaArticulo |
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review |
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publishedVersion |
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http://sedici.unlp.edu.ar/handle/10915/62945 |
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http://sedici.unlp.edu.ar/handle/10915/62945 |
dc.language.none.fl_str_mv |
eng |
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eng |
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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) |
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openAccess |
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http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) |
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application/pdf 154-155 |
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SEDICI (UNLP) - Universidad Nacional de La Plata |
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