Feature Extraction with Video Summarization of Dynamic Gestures for Peruvian 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: Neyra-Gutierrez, Andre, 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:10757/656630
Enlace del recurso:http://hdl.handle.net/10757/656630
Nivel de acceso:acceso embargado
Materia:Dynamic Gestures
Feature Extraction
Peruvian Signal Language
Sign Language Recognition
Video Summarization
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dc.title.en_US.fl_str_mv Feature Extraction with Video Summarization of Dynamic Gestures for Peruvian Sign Language Recognition
title Feature Extraction with Video Summarization of Dynamic Gestures for Peruvian Sign Language Recognition
spellingShingle Feature Extraction with Video Summarization of Dynamic Gestures for Peruvian Sign Language Recognition
Neyra-Gutierrez, Andre
Dynamic Gestures
Feature Extraction
Peruvian Signal Language
Sign Language Recognition
Video Summarization
title_short Feature Extraction with Video Summarization of Dynamic Gestures for Peruvian Sign Language Recognition
title_full Feature Extraction with Video Summarization of Dynamic Gestures for Peruvian Sign Language Recognition
title_fullStr Feature Extraction with Video Summarization of Dynamic Gestures for Peruvian Sign Language Recognition
title_full_unstemmed Feature Extraction with Video Summarization of Dynamic Gestures for Peruvian Sign Language Recognition
title_sort Feature Extraction with Video Summarization of Dynamic Gestures for Peruvian Sign Language Recognition
author Neyra-Gutierrez, Andre
author_facet Neyra-Gutierrez, Andre
Shiguihara-Juarez, Pedro
author_role author
author2 Shiguihara-Juarez, Pedro
author2_role author
dc.contributor.author.fl_str_mv Neyra-Gutierrez, Andre
Shiguihara-Juarez, Pedro
dc.subject.en_US.fl_str_mv Dynamic Gestures
Feature Extraction
Peruvian Signal Language
Sign Language Recognition
Video Summarization
topic Dynamic Gestures
Feature Extraction
Peruvian Signal Language
Sign Language Recognition
Video Summarization
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 2021-07-06T17:05:12Z
dc.date.available.none.fl_str_mv 2021-07-06T17:05:12Z
dc.date.issued.fl_str_mv 2020-09-01
dc.type.en_US.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.doi.none.fl_str_mv 10.1109/INTERCON50315.2020.9220243
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/656630
dc.identifier.journal.en_US.fl_str_mv Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
dc.identifier.eid.none.fl_str_mv 2-s2.0-85095444502
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85095444502
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 10.1109/INTERCON50315.2020.9220243
Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
2-s2.0-85095444502
SCOPUS_ID:85095444502
0000 0001 2196 144X
url http://hdl.handle.net/10757/656630
dc.language.iso.en_US.fl_str_mv eng
language eng
dc.relation.url.en_US.fl_str_mv https://ieeexplore.ieee.org/abstract/document/9220243
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.es_PE.fl_str_mv Universidad Peruana de Ciencias Aplicadas (UPC)
Repositorio Académico - UPC
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 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/656630/1/license.txt
bitstream.checksum.fl_str_mv 8a4605be74aa9ea9d79846c1fba20a33
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spelling ba0daa192a6ba4f10ac5ebd8577acecf3003bbed8393277dfc4879d9af2ced1e47e500Neyra-Gutierrez, AndreShiguihara-Juarez, Pedro2021-07-06T17:05:12Z2021-07-06T17:05:12Z2020-09-0110.1109/INTERCON50315.2020.9220243http://hdl.handle.net/10757/656630Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 20202-s2.0-85095444502SCOPUS_ID:850954445020000 0001 2196 144XEl texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.In peruvian sign language (PSL), recognition of static gestures has been proposed earlier. However, to state a conversation using sign language, it is also necessary to employ dynamic gestures. We propose a method to extract a feature vector for dynamic gestures of PSL. We collect a dataset with 288 video sequences of words related to dynamic gestures and we state a workflow to process the keypoints of the hands, obtaining a feature vector for each video sequence with the support of a video summarization technique. We employ 9 neural networks to test the method, achieving an average accuracy ranging from 80% and 90%, using 10 fold cross-validation.application/htmlengInstitute of Electrical and Electronics Engineers Inc.https://ieeexplore.ieee.org/abstract/document/9220243info:eu-repo/semantics/embargoedAccessUniversidad Peruana de Ciencias Aplicadas (UPC)Repositorio Académico - UPCProceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCDynamic GesturesFeature ExtractionPeruvian Signal LanguageSign Language RecognitionVideo SummarizationFeature Extraction with Video Summarization of Dynamic Gestures for Peruvian Sign Language Recognitioninfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/656630/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/656630oai:repositorioacademico.upc.edu.pe:10757/6566302021-07-06 17:05:13.201Repositorio académico upcupc@openrepository.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