Technological solution for the identification and reduction of stress level using wearables

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: Raymondi, Luis Guillermo Antezana, Guzman, Fabricio Eduardo Aguirre, Armas-Aguirre, Jimmy, Agonzalez, Paola
Formato: artículo
Fecha de Publicación:2020
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/656578
Enlace del recurso:http://hdl.handle.net/10757/656578
Nivel de acceso:acceso embargado
Materia:Cloud Technology
Heart Rate
Mobile Health Application
Real-time Text Recognition
Stress Detection
Technology
Wearable
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network_acronym_str UUPC
network_name_str UPC-Institucional
repository_id_str 2670
dc.title.en_US.fl_str_mv Technological solution for the identification and reduction of stress level using wearables
title Technological solution for the identification and reduction of stress level using wearables
spellingShingle Technological solution for the identification and reduction of stress level using wearables
Raymondi, Luis Guillermo Antezana
Cloud Technology
Heart Rate
Mobile Health Application
Real-time Text Recognition
Stress Detection
Technology
Wearable
title_short Technological solution for the identification and reduction of stress level using wearables
title_full Technological solution for the identification and reduction of stress level using wearables
title_fullStr Technological solution for the identification and reduction of stress level using wearables
title_full_unstemmed Technological solution for the identification and reduction of stress level using wearables
title_sort Technological solution for the identification and reduction of stress level using wearables
author Raymondi, Luis Guillermo Antezana
author_facet Raymondi, Luis Guillermo Antezana
Guzman, Fabricio Eduardo Aguirre
Armas-Aguirre, Jimmy
Agonzalez, Paola
author_role author
author2 Guzman, Fabricio Eduardo Aguirre
Armas-Aguirre, Jimmy
Agonzalez, Paola
author2_role author
author
author
dc.contributor.author.fl_str_mv Raymondi, Luis Guillermo Antezana
Guzman, Fabricio Eduardo Aguirre
Armas-Aguirre, Jimmy
Agonzalez, Paola
dc.subject.en_US.fl_str_mv Cloud Technology
Heart Rate
Mobile Health Application
Real-time Text Recognition
Stress Detection
Technology
Wearable
topic Cloud Technology
Heart Rate
Mobile Health Application
Real-time Text Recognition
Stress Detection
Technology
Wearable
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 2021-06-23T13:56:59Z
dc.date.available.none.fl_str_mv 2021-06-23T13:56:59Z
dc.date.issued.fl_str_mv 2020-06-01
dc.type.en_US.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.issn.none.fl_str_mv 21660727
dc.identifier.doi.none.fl_str_mv 10.23919/CISTI49556.2020.9140971
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/656578
dc.identifier.eissn.none.fl_str_mv 21660735
dc.identifier.journal.en_US.fl_str_mv Iberian Conference on Information Systems and Technologies, CISTI
dc.identifier.eid.none.fl_str_mv 2-s2.0-85089021447
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85089021447
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 21660727
10.23919/CISTI49556.2020.9140971
21660735
Iberian Conference on Information Systems and Technologies, CISTI
2-s2.0-85089021447
SCOPUS_ID:85089021447
0000 0001 2196 144X
url http://hdl.handle.net/10757/656578
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/9140971
dc.rights.en_US.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.en_US.fl_str_mv application/html
dc.publisher.en_US.fl_str_mv IEEE Computer Society
dc.source.es_PE.fl_str_mv Repositorio Academico - UPC
Universidad Peruana de Ciencias Aplicadas (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 Iberian Conference on Information Systems and Technologies, CISTI
dc.source.volume.none.fl_str_mv 2020-June
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/656578/1/license.txt
bitstream.checksum.fl_str_mv 8a4605be74aa9ea9d79846c1fba20a33
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Repositorio académico upc
repository.mail.fl_str_mv upc@openrepository.com
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spelling 52d227d0def95c344527c93d30f38ecd3001cc91fc256fe80e3ae7b274549c38f503004832ce656228b995761b32f4527dfa5852294424a07f36bae0f8b355407bc588300Raymondi, Luis Guillermo AntezanaGuzman, Fabricio Eduardo AguirreArmas-Aguirre, JimmyAgonzalez, Paola2021-06-23T13:56:59Z2021-06-23T13:56:59Z2020-06-012166072710.23919/CISTI49556.2020.9140971http://hdl.handle.net/10757/65657821660735Iberian Conference on Information Systems and Technologies, CISTI2-s2.0-85089021447SCOPUS_ID:850890214470000 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 this article, a technological solution is proposed to identify and reduce the level of mental stress of a person through a wearable device. The proposal identifies a physiological variable: Heart rate, through the integration between a wearable and a mobile application through text recognition using the back camera of a smartphone. As part of the process, the technological solution shows a list of guidelines depending on the level of stress obtained in a given time. Once completed, it can be measured again in order to confirm the evolution of your stress level. This proposal allows the patient to keep his stress level under control in an effective and accessible way in real time. The proposal consists of four phases: 1. Collection of parameters through the wearable; 2. Data reception by the mobile application; 3. Data storage in a cloud environment and 4. Data collection and processing; this last phase is divided into 4 sub-phases: 4.1. Stress level analysis, 4.2. Recommendations to decrease the level obtained, 4.3. Comparison between measurements and 4.4. Measurement history per day. The proposal was validated in a workplace with people from 20 to 35 years old located in Lima, Peru. Preliminary results showed that 80% of patients managed to reduce their stress level with the proposed solution.Revisión por paresapplication/htmlengIEEE Computer Societyhttps://ieeexplore.ieee.org/abstract/document/9140971info:eu-repo/semantics/embargoedAccessRepositorio Academico - UPCUniversidad Peruana de Ciencias Aplicadas (UPC)Iberian Conference on Information Systems and Technologies, CISTI2020-Junereponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCCloud TechnologyHeart RateMobile Health ApplicationReal-time Text RecognitionStress DetectionTechnologyWearableTechnological solution for the identification and reduction of stress level using wearablesinfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/656578/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/656578oai:repositorioacademico.upc.edu.pe:10757/6565782021-06-23 13:57:00.074Repositorio académico upcupc@openrepository.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Technological solution for the identification and reduction of stress level using wearables
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