Mostrar el registro sencillo del ítem

dc.contributor.authorBisio, Alessia
dc.contributor.authorYeguas-Bolívar, Enrique
dc.contributor.authorAparicio Martínez, Pilar
dc.contributor.authorRedel-Macías, María Dolores
dc.contributor.authorPinzi, Sara
dc.contributor.authorRossi, Stefano
dc.contributor.authorTaborri, Juri
dc.date.accessioned2024-01-10T12:14:07Z
dc.date.available2024-01-10T12:14:07Z
dc.date.issued2023
dc.identifier.isbn979-8-3503-0079-6
dc.identifier.urihttp://hdl.handle.net/10396/26477
dc.description.abstractStructured hand gestures that incorporate visual motions and signs are used in sign language. Sign language is a valuable means of daily communication for individuals who are deaf or have speech impairments, but it is still rare among hearing people, and fewer are capable of understand it. Within the academic context, parents and teachers play a crucial role in supporting deaf students from childhood by facilitating their learning of sign language. In the last years, among all the teaching tools useful for learning sign language, the use of Virtual Reality (VR) has increased, as it has been demonstrated to improve retention, memory and attention during the learning process. The ISENSE project has been created to assist students with deafness during their academic life by proposing different technological tools for teaching sign language to the hearing community in the academic context. As part of the ISENSE project, this work aims to develop an application for Spanish and Italian sign language recognition that exploits the VR environment to quickly and easily create a comprehensive database of signs and an Artificial Intelligence (AI)-based software to accurately classify and recognize static and dynamic signs: from letters to sentences.es_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/es_ES
dc.sourceBisio, A., Yeguas-Bolívar, E., Aparicio-Martínez, P., Redel-Macías, M.D., Pinzi,S., Rossi, S.& Taborri, J. (2023). Training program on sign language: social inclusion through Virtual Reality in ISENSE project. 2023 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE). Milano, Italyes_ES
dc.subjectDeafnesses_ES
dc.subjectVirtual Realityes_ES
dc.subjectMachine Learninges_ES
dc.titleTraining program on sign language: social inclusion through Virtual Reality in ISENSE projectes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.relation.projectIDUnión Europea. KA2.KA220.2022-1-IT02-KA220- HED-000089554es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


Ficheros en el ítem

Thumbnail

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

Mostrar el registro sencillo del ítem