Sign Language Recognition Using Leap Motion

Quesada Quirós, Luis; López Herrera, Gustavo; Guerrero Blanco, Luis Alberto

Sign Language Recognition Using Leap Motion

dc.creator	Quesada Quirós, Luis
dc.creator	López Herrera, Gustavo
dc.creator	Guerrero Blanco, Luis Alberto
dc.date.accessioned	2018-04-16T21:48:09Z
dc.date.available	2018-04-16T21:48:09Z
dc.date.issued	2015-12-01
dc.description.abstract	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.	es
dc.description.procedence	UCR::Vicerrectoría de Docencia::Ingeniería::Facultad de Ingeniería::Escuela de Ciencias de la Computación e Informática	es
dc.description.procedence	UCR::Vicerrectoría de Investigación::Unidades de Investigación::Ingeniería::Centro de Investigaciones en Tecnologías de Información y Comunicación (CITIC)	es
dc.description.sponsorship	Universidad de Costa Rica/[320-B5-291]/UCR/Costa Rica	es
dc.description.sponsorship	Ministerio de Ciencia, Tecnología y Telecomunicaciones//MICITT/Costa Rica	es
dc.description.sponsorship	Consejo Nacional para Investigaciones Científicas y Tecnológicas//CONICIT/Costa Rica	es
dc.identifier.citation	https://link.springer.com/chapter/10.1007/978-3-319-26401-1_26
dc.identifier.codproyecto	320-B5291
dc.identifier.doi	https://doi.org/10.1007/978-3-319-26401-1_26
dc.identifier.isbn	978-3-319-26401-1
dc.identifier.isbn	978-3-319-26400-4
dc.identifier.uri	https://hdl.handle.net/10669/74490
dc.language.iso	en_US
dc.rights	acceso abierto
dc.source	Quesada L., López G., Guerrero L.A. (2015) Sign Language Recognition Using Leap Motion. In: García-Chamizo J., Fortino G., Ochoa S. (eds) Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information. Lecture Notes in Computer Science, vol 9454. Springer, Cham	es
dc.subject	American sign language	es
dc.subject	Leap motion	es
dc.subject	Support vector machine	es
dc.subject	Automatic sign language recognition	es
dc.title	Sign Language Recognition Using Leap Motion	es
dc.type	contribución de congreso

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