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.
| Autores: | , |
|---|---|
| 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 |
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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 |
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2-s2.0-85095444502 |
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SCOPUS_ID:85095444502 |
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http://hdl.handle.net/10757/656630 |
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eng |
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eng |
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https://ieeexplore.ieee.org/abstract/document/9220243 |
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| dc.publisher.en_US.fl_str_mv |
Institute of Electrical and Electronics Engineers Inc. |
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Universidad Peruana de Ciencias Aplicadas (UPC) Repositorio Académico - UPC |
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Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020 |
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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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 |
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13.945474 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).