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dc.date.accessioned 2017-10-13T16:12:45Z
dc.date.available 2017-10-13T16:12:45Z
dc.date.issued 2017-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/62945
dc.description.abstract 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. en
dc.format.extent 154-155 es
dc.language en es
dc.subject Lenguaje de Signos Argentino (LSA) es
dc.subject automatic recognition en
dc.title Dynamic Gesture Recognition and its Application to Sign Language en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/2017/10/JCST-45-Paper-8.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Ronchetti, Franco es
sedici.description.note Tesis defendida el 23 de marzo de 2017 para obtener el título de Doctor en Ciencias Informáticas (UNLP). es
sedici.description.note Es revisión de: http://sedici.unlp.edu.ar/handle/10915/59330 es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Revision es
sedici.rights.license Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/4.0/
sedici.description.peerReview non-peer-review es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 17, no. 2 es

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