@InProceedings{AmaralLimaVieiViei:2017:ReGeEs,
author = "Amaral, Lucas and Lima, Givanildo and Vieira, Tiago and Vieira,
Thales",
affiliation = "{Universidade Federal de Alagoas} and {Universidade Federal de
Alagoas} and {Universidade Federal de Alagoas} and {Universidade
Federal de Alagoas}",
title = "Reconhecimento de gestos est{\'a}ticos da m{\~a}o usando a
Transformada de Dist{\^a}ncia e aplica{\c{c}}{\~o}es em
Libras",
booktitle = "Proceedings...",
year = "2017",
editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and
Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and
Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba,
Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo
and Vital, Creto and Pagot, Christian Azambuja and Petronetto,
Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "Transformada de Dist{\^a}ncia, Redes Neurais Convolucionais,
Gestos de Libras.",
abstract = "In this paper we propose a method to recognize static hand
gestures from depth images. We first segment the hand from the
background, and then compute the Distance Transform to train a
Convolutional Neural Network (CNN) that is later used to classify
hand poses. In order to evaluate our method in a practical
context, we collected a dataset containing 1400 images
representing 14 different hand configurations representing signs
of the Brazilian Sign Language (Libras). Our method achieved an
average recognition rate of 96.42.",
conference-location = "Niter{\'o}i, RJ, Brazil",
conference-year = "17-20 Oct. 2017",
language = "pt",
ibi = "8JMKD3MGPAW/3PHJJAP",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3PHJJAP",
targetfile = "Artigo_Distancia.pdf",
urlaccessdate = "2024, May 02"
}