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_ES |
| dc.description.procedence | UCR::Vicerrectoría de Docencia::Ingeniería::Facultad de Ingeniería::Escuela de Ciencias de la Computación e Informática | es_ES |
| dc.description.procedence | UCR::Vicerrectoría de Investigación::Unidades de Investigación::Ingeniería::Centro de Investigaciones en Tecnologías de Información y Comunicación (CITIC) | es_ES |
| dc.description.sponsorship | Universidad de Costa Rica/[320-B5-291]/UCR/Costa Rica | es_ES |
| dc.description.sponsorship | Ministerio de Ciencia, Tecnología y Telecomunicaciones//MICITT/Costa Rica | es_ES |
| dc.description.sponsorship | Consejo Nacional para Investigaciones Científicas y Tecnológicas//CONICIT/Costa Rica | es_ES |
| dc.identifier.citation | https://link.springer.com/chapter/10.1007/978-3-319-26401-1_26 | |
| dc.identifier.codproyecto | 320-B5-291 | |
| dc.identifier.doi | 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 | es_ES |
| 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_ES |
| dc.subject | American sign language | es_ES |
| dc.subject | Leap motion | es_ES |
| dc.subject | Support vector machine | es_ES |
| dc.subject | Automatic sign language recognition | es_ES |
| dc.title | Sign Language Recognition Using Leap Motion | es_ES |
| dc.type | contribución de congreso |
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