Data collection of 3D spatial features of gestures from static peruvian sign language alphabet for sign language recognition

Descripción del Articulo

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
Detalles Bibliográficos
Autores: Nurena-Jara, Roberto, Ramos-Carrion, Cristopher, Shiguihara-Juarez, Pedro
Formato: artículo
Fecha de Publicación:2020
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/656634
Enlace del recurso:http://hdl.handle.net/10757/656634
Nivel de acceso:acceso embargado
Materia:gesture recognition
Peruvian sign language
sign language recognition
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dc.title.en_US.fl_str_mv Data collection of 3D spatial features of gestures from static peruvian sign language alphabet for sign language recognition
title Data collection of 3D spatial features of gestures from static peruvian sign language alphabet for sign language recognition
spellingShingle Data collection of 3D spatial features of gestures from static peruvian sign language alphabet for sign language recognition
Nurena-Jara, Roberto
gesture recognition
Peruvian sign language
sign language recognition
title_short Data collection of 3D spatial features of gestures from static peruvian sign language alphabet for sign language recognition
title_full Data collection of 3D spatial features of gestures from static peruvian sign language alphabet for sign language recognition
title_fullStr Data collection of 3D spatial features of gestures from static peruvian sign language alphabet for sign language recognition
title_full_unstemmed Data collection of 3D spatial features of gestures from static peruvian sign language alphabet for sign language recognition
title_sort Data collection of 3D spatial features of gestures from static peruvian sign language alphabet for sign language recognition
author Nurena-Jara, Roberto
author_facet Nurena-Jara, Roberto
Ramos-Carrion, Cristopher
Shiguihara-Juarez, Pedro
author_role author
author2 Ramos-Carrion, Cristopher
Shiguihara-Juarez, Pedro
author2_role author
author
dc.contributor.author.fl_str_mv Nurena-Jara, Roberto
Ramos-Carrion, Cristopher
Shiguihara-Juarez, Pedro
dc.subject.en_US.fl_str_mv gesture recognition
Peruvian sign language
sign language recognition
topic gesture recognition
Peruvian sign language
sign language recognition
description El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2021-07-06T17:43:28Z
dc.date.available.none.fl_str_mv 2021-07-06T17:43:28Z
dc.date.issued.fl_str_mv 2020-10-21
dc.type.en_US.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.doi.none.fl_str_mv 10.1109/EIRCON51178.2020.9254019
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/656634
dc.identifier.journal.en_US.fl_str_mv Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020
dc.identifier.eid.none.fl_str_mv 2-s2.0-85097807930
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85097807930
identifier_str_mv 10.1109/EIRCON51178.2020.9254019
Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020
2-s2.0-85097807930
SCOPUS_ID:85097807930
url http://hdl.handle.net/10757/656634
dc.language.iso.en_US.fl_str_mv eng
language eng
dc.relation.url.en_US.fl_str_mv https://ieeexplore.ieee.org/document/9254019
dc.rights.en_US.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
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dc.publisher.en_US.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/656634/1/license.txt
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spelling 6cadca18529f953b1e95574258603c1930049410c8d4820e74203ea319f3550bfab3003bbed8393277dfc4879d9af2ced1e47eNurena-Jara, RobertoRamos-Carrion, CristopherShiguihara-Juarez, Pedro2021-07-06T17:43:28Z2021-07-06T17:43:28Z2020-10-2110.1109/EIRCON51178.2020.9254019http://hdl.handle.net/10757/656634Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 20202-s2.0-85097807930SCOPUS_ID:85097807930El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.Peruvian Sign Language Recognition (PSL) is approached as a classification problem. Previous work has employed 2D features from the position of hands to tackle this problem. In this paper, we propose a method to construct a dataset consisting of 3D spatial positions of static gestures from the PSL alphabet, using the HTC Vive device and a well-known technique to extract 21 keypoints from the hand to obtain a feature vector. A dataset of 35, 400 instances of gestures for PSL was constructed and a novel way to extract data was stated. To validate the appropriateness of this dataset, a comparison of four baselines classifiers in the Peruvian Sign Language Recognition (PSLR) task was stated, achieving 99.32% in the average in terms of F1 measure in the best case.Revisión por paresapplication/htmlengInstitute of Electrical and Electronics Engineers Inc.https://ieeexplore.ieee.org/document/9254019info:eu-repo/semantics/embargoedAccessgesture recognitionPeruvian sign languagesign language recognitionData collection of 3D spatial features of gestures from static peruvian sign language alphabet for sign language recognitioninfo:eu-repo/semantics/articleProceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/656634/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/656634oai:repositorioacademico.upc.edu.pe:10757/6566342021-07-06 17:43:29.115Repositorio académico upcupc@openrepository.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Data collection of 3D spatial features of gestures from static peruvian sign language alphabet for sign language recognition
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