@InProceedings{CardenasCháv:2015:FiSpRe,
author = "Cardenas, Edwin Jonathan Escobedo and Ch{\'a}vez, Guillermo
C{\'a}mara",
affiliation = "{Federal University of Ouro Preto} and {Federal University of Ouro
Preto}",
title = "Finger Spelling Recognition from Depth data using Direction
Cosines and Histogram of Cumulative Magnitudes",
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 recognition, depth information, points cloud,
directional cosines, support vector machine (SVM).",
abstract = "In this paper, we propose a new approach for finger spelling
recognition using depth information captured by Kinect sensor. We
only use depth information to characterize hand configurations
corresponding to alphabet letters. First, we use depth data to
generate a binary hand mask which is used to segment the hand area
from background. Then, the major hand axis is determined and
aligned with Y axis in order to achieve rotation invariance.
Later, we convert the depth data in a 3D point cloud. The point
cloud is divided into subregions and in each one, using direction
cosines, we calculated three histograms of cumulative magnitudes
Hx, Hy and Hz corresponding to each axis. Finally, these
histograms were concatenated and used as input to our Support
Vector Machine (SVM) classifier. The performance of this approach
is quantitatively and qualitatively evaluated on a dataset of real
images of American Sign Language (ASL) hand shapes. The dataset
used is composed of 60000 depth images. According to our
experiments, our approach has an accuracy rate of 99.37%,
outperforming other state-of-the-art methods.",
conference-location = "Salvador, BA, Brazil",
conference-year = "26-29 Aug. 2015",
doi = "10.1109/SIBGRAPI.2015.49",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2015.49",
language = "en",
ibi = "8JMKD3MGPBW34M/3JMNUFH",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JMNUFH",
targetfile = "PID3771875.pdf",
urlaccessdate = "2024, Apr. 30"
}