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dc.creatorQuesada Quirós, Luis
dc.creatorLópez Herrera, Gustavo
dc.creatorGuerrero Blanco, Luis Alberto
dc.description.abstractSeveral 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_ES
dc.description.sponsorshipUniversidad de Costa Rica/[320-B5-291]/UCR/Costa Ricaes_ES
dc.description.sponsorshipMinisterio de Ciencia, Tecnología y Telecomunicaciones//MICITT/Costa Ricaes_ES
dc.description.sponsorshipConsejo Nacional para Investigaciones Científicas y Tecnológicas//CONICIT/Costa Ricaes_ES
dc.sourceQuesada 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, Chames_ES
dc.subjectAmerican sign languagees_ES
dc.subjectLeap motiones_ES
dc.subjectSupport vector machinees_ES
dc.subjectAutomatic sign language recognitiones_ES
dc.titleSign Language Recognition Using Leap Motiones_ES
dc.description.procedenceUCR::Vicerrectoría de Docencia::Ingeniería::Facultad de Ingeniería::Escuela de Ciencias de la Computación e Informáticaes_ES
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ingeniería::Centro de Investigaciones en Tecnologías de Información y Comunicación (CITIC)es_ES

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