Mostrar el registro sencillo del ítem

dc.creatorQuesada Quirós, Luis
dc.creatorLópez Herrera, Gustavo
dc.creatorGuerrero Blanco, Luis Alberto
dc.date.accessioned2018-04-06T20:05:17Z
dc.date.available2018-04-06T20:05:17Z
dc.date.issued2017-03-22
dc.identifier.citationhttps://link.springer.com/article/10.1007/s12652-017-0475-7es_ES
dc.identifier.citationhttp://rdcu.be/qiDB
dc.identifier.issn1868-5137
dc.identifier.issn1868-5145
dc.identifier.urihttp://hdl.handle.net/10669/74423
dc.description.abstractSign 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.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.language.isoen_USes_ES
dc.sourceJournal of Ambient Intelligence and Humanized Computing, Vol. 8(4), pp 625–635es_ES
dc.subjectAmerican sign languagees_ES
dc.subjectLeap motiones_ES
dc.subjectIntel RealSensees_ES
dc.subjectSupport vector machinees_ES
dc.subjectAutomatic sign language recognitiones_ES
dc.subjectNatural user interfaceses_ES
dc.titleAutomatic recognition of the American sign language fingerspelling alphabet to assist people living with speech or hearing impairmentses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.typeArtículo científicoes_ES
dc.identifier.doi10.1007/s12652-017-0475-7
dc.description.procedenceUCR::Investigación::Unidades de Investigación::Ingeniería::Centro de Investigaciones en Tecnologías de Información y Comunicación (CITIC)es_ES
dc.description.procedenceUCR::Docencia::Ingeniería::Facultad de Ingeniería::Escuela de Ciencias de la Computación e Informáticaes_ES
dc.identifier.codproyecto320-B5-291


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem