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dc.date.accessioned 2016-11-16T12:56:21Z
dc.date.available 2016-11-16T12:56:21Z
dc.date.issued 2016
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/56764
dc.description.abstract Automatic sign language recognition is a research area that encompasses human-computer interaction, computer vision and machine learning. Robust automatic recognition of sign language could assist in the translation process and the integration of hearing-impaired people, as well as the teaching of sign language to the hearing population. Sign languages differ significantly in different countries and even regions, and their syntax and semantics are different as well from those of written languages. While the techniques for automatic sign language recognition are mostly the same for different languages, training a recognition system for a new language requires having an entire dataset for that language. This paper presents a dataset of 64 signs from the Argentinian Sign Language (LSA). The dataset, called LSA64, contains 3200 videos of 64 different LSA signs recorded by 10 subjects, and is a first step towards building a comprehensive research-level dataset of Argentinian signs, specifically tailored to sign language recognition or other machine learning tasks. The subjects that performed the signs wore colored gloves to ease the hand tracking and segmentation steps, allowing experiments on the dataset to focus specifically on the recognition of signs. en
dc.format.extent 794-803 es
dc.language en es
dc.subject sign language recognition en
dc.subject handshape recognition en
dc.subject lexicon en
dc.subject corpus en
dc.subject automatic recognition en
dc.title LSA64: An Argentinian Sign Language Dataset en
dc.type Objeto de conferencia es
sedici.creator.person Ronchetti, Franco es
sedici.creator.person Quiroga, Facundo es
sedici.creator.person Estrebou, César Armando es
sedici.creator.person Lanzarini, Laura Cristina es
sedici.creator.person Rosete, Alejandro es
sedici.description.note XIII Workshop Bases de datos y Minería de Datos (WBDMD). es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2016-10
sedici.relation.event XXII Congreso Argentino de Ciencias de la Computación (CACIC 2016). es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/55718 es

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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)