@conference {798,
	title = {Sign Language Recognition Using Leap Motion},
	booktitle = {Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information},
	year = {2015},
	month = {12/2015},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	abstract = {<p>Several million people around the world use signs as their main mean of communication. The advances in technologies to recognize such signs will make possible the computer supported interpretation of sign languages. There are more than 137 different sign language around the world; therefore, a system that interprets those languages could be beneficial to all, including the Deaf Community. This paper presents a system based on a hand tracking device called Leap Motion, used for signs recognition. The system uses a Support Vector Machine for sign classification. We performed three different evaluations of our system with over 24 people.</p>},
	keywords = {American sign language, Automatic sign language recognition, Leap Motion, Support vector machine},
	isbn = {978-3-319-26401-1},
	doi = {https://doi.org/10.1007/978-3-319-26401-1_26},
	url = {https://link.springer.com/chapter/10.1007/978-3-319-26401-1_26},
	author = {Quesada, Luis and L{\'o}pez, Gustavo and Guerrero, Luis A.},
	editor = {Garc{\'\i}a-Chamizo, Juan M. and Fortino, Giancarlo and Ochoa, Sergio F.}
}
