Sign language is a collection of gestures, postures, movements, and facial expressions used by deaf people. The Brazilian sign language is Libras. The use of Libras has been increased among the deaf communities, but is still not disseminated outside this community. Sign language recognition is a field of research, which intends to help the deaf community communication with non-hearing-impaired people. In this context, this paper describes a new method for recognizing hand configurations of Libras - using depth maps obtained with a Kinect® sensor.
%0 Journal Article
%1 filho2017fully
%A Filho, Cicero
%A Silva de Souza, Robson
%A Roque dos Santos, Jonilson
%A Lobato dos Santos, Bárbara
%A Costa, Marly
%D 2017
%I Sociedade Brasileira de Engenharia Biomédica (SBEB)
%J Research on Biomedical Engineering
%K brazilian-sign-language bsl deaf-community gesture-recognition knn libras novelty-classifier real sign-language
%P 78-89
%R 10.1590/2446-4740.03816
%T A fully automatic method for recognizing hand configurations of Brazilian sign language
%U http://ref.scielo.org/62xwcs
%V 33
%X Sign language is a collection of gestures, postures, movements, and facial expressions used by deaf people. The Brazilian sign language is Libras. The use of Libras has been increased among the deaf communities, but is still not disseminated outside this community. Sign language recognition is a field of research, which intends to help the deaf community communication with non-hearing-impaired people. In this context, this paper describes a new method for recognizing hand configurations of Libras - using depth maps obtained with a Kinect® sensor.
@article{filho2017fully,
abstract = {Sign language is a collection of gestures, postures, movements, and facial expressions used by deaf people. The Brazilian sign language is Libras. The use of Libras has been increased among the deaf communities, but is still not disseminated outside this community. Sign language recognition is a field of research, which intends to help the deaf community communication with non-hearing-impaired people. In this context, this paper describes a new method for recognizing hand configurations of Libras - using depth maps obtained with a Kinect® sensor.},
added-at = {2019-08-20T06:00:15.000+0200},
author = {Filho, Cicero and Silva de Souza, Robson and Roque dos Santos, Jonilson and Lobato dos Santos, Bárbara and Costa, Marly},
biburl = {https://www.bibsonomy.org/bibtex/2b2b238eab4d59e8b096991321a635127/jpmor},
doi = {10.1590/2446-4740.03816},
interhash = {0608df3e96bc364ae99276bdbf9cb43f},
intrahash = {b2b238eab4d59e8b096991321a635127},
issn = {2446-4740},
journal = {Research on Biomedical Engineering},
keywords = {brazilian-sign-language bsl deaf-community gesture-recognition knn libras novelty-classifier real sign-language},
language = {English},
month = {03},
pages = {78-89},
publisher = {Sociedade Brasileira de Engenharia Biomédica (SBEB)},
school = {Universidade Federal do Amazonas (UFAM)},
timestamp = {2020-10-07T13:36:50.000+0200},
title = {A fully automatic method for recognizing hand configurations of Brazilian sign language},
url = {http://ref.scielo.org/62xwcs},
volume = 33,
year = 2017
}