@article {593,
	title = {Automatic recognition of the American sign language fingerspelling alphabet to assist people living with speech or hearing impairments},
	journal = {Journal of Ambient Intelligence and Humanized Computing},
	year = {2017},
	pages = {1{\textendash}11},
	abstract = {<p>Sign languages are natural languages used mostly by deaf and hard of hearing people. Different development opportunities for people with these disabilities are limited because of communication problems. The advances in technology to recognize signs and gestures will make computer supported interpretation of sign languages possible. There are more than 137 different sign languages around the world; therefore, a system that interprets them could be beneficial to all, especially to the Deaf Community. This paper presents a system based on hand tracking devices (Leap Motion and Intel RealSense), used for signs recognition. The system uses a Support Vector Machine for sign classification. Different evaluations of the system were performed with over 50 individuals; and remarkable recognition accuracy was achieved with selected signs (100{\%} accuracy was achieved recognizing some signs). Furthermore, an exploration on the Leap Motion and the Intel RealSense potential as a hand tracking devices for sign language recognition using the American Sign Language fingerspelling alphabet was performed.</p>},
	keywords = {American sign language, Automatic sign language recognition, Intel realsense, Leap Motion, Natural user interfaces, Support vector machine},
	issn = {1868-5145},
	doi = {10.1007/s12652-017-0475-7},
	url = {http://dx.doi.org/10.1007/s12652-017-0475-7},
	author = {Quesada, Luis and L{\'o}pez, Gustavo and Guerrero, Luis}
}
@conference {498,
	title = {TIC@ULA: Design of non-traditional technologies for resource classrooms in Costa Rica},
	booktitle = {REV 2014, 11TH International Conference on Remote Engineering and Virtual Instrumentation},
	year = {2014},
	month = {02/2014},
	address = {Oporto, Portugal},
	abstract = {<p>TIC@ULA is a framework that uses non-traditional technologies aimed at literacy acquisition\&nbsp; in children with intellectual disabilities. The development involves two stages as follows: At a first stage, a mobile device prototype was designed, based on a web architecture for creating, centralizing and sharing learning objects with IEEE LOM standard. These objects are elements of the method for literacy acquisition Troncoso and Del Cero for children with Down Syndrome. This architecture pretends to enhance the adaptation of the method to the Costa Rican reality and extend its application to children with moderate intellectual disability. At a second stage, a novel prototype will be developed to expand the functionality to a smart classroom. The main feature of the user interface is that it will be easy to configure for non-technical users like teachers, therapists or parents. New concepts will be applied like Ambient intelligence (AmI), Natural User Interfaces (NUI) and tangible user interface (TUI).</p>},
	keywords = {Ambient intelligence, IEEE LOM standard, learning objects, Method of literacy acquisition Troncoso and Del Cerro, Natural user interfaces, Tangible User Interface},
	author = {Jadan-Guerrero, J. and Guerrero, L.A.}
}
