@InProceedings{RodrķguezCahuAraśChav:2015:FiSpRe,
author = "Rodr{\'{\i}}guez, Karla Catherine Otiniano and Cahuina, Edward
Cayllahua and Ara{\'u}jo, Arnaldo de Albuquerque and Chavez,
Guillermo C{\'a}mara",
affiliation = "{Federal University of Minas Gerais} and {Federal University of
Minas Gerais} and {Federal University of Minas Gerais} and
{Federal University of Ouro Preto}",
title = "Finger Spelling Recognition using Kernel Descriptors and Depth
Images",
booktitle = "Proceedings...",
year = "2015",
editor = "Papa, Jo{\~a}o Paulo and Sander, Pedro Vieira and Marroquim,
Ricardo Guerra and Farrell, Ryan",
organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "finger spelling, depth images, kernel descriptors, Bag-of-Words.",
abstract = "Deaf people use systems of communication based on sign language
and finger spelling. Finger spelling is a system where each letter
of the alphabet is represented by a unique and discrete movement
of the hand. RGB and depth images can be used to characterize hand
shapes corresponding to letters of the alphabet. There exists an
advantage of depth sensors, as Kinect, over color cameras for
finger spelling recognition: depth images provide 3D information
of the hand. In this paper, we propose a model for finger spelling
recognition based on depth information using kernel descriptors,
consisting of four stages. The performance of this approach is
evaluated on a dataset of real images of the American Sign
Language finger spelling. Different experiments were performed
using a combination of both descriptors over depth information.
Our approach obtains 92.92% of mean accuracy with 50% of samples
for training; outperforming other state-of-the-art methods.",
conference-location = "Salvador, BA, Brazil",
conference-year = "26-29 Aug. 2015",
doi = "10.1109/SIBGRAPI.2015.50",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2015.50",
language = "en",
ibi = "8JMKD3MGPBW34M/3JNJB5B",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JNJB5B",
targetfile = "113.pdf",
urlaccessdate = "2024, Apr. 30"
}