A wearable mobile sensor platform to assist fruit grading

Detalhes bibliográficos
Autor(a) principal: Aroca, Rafael Vidal
Data de Publicação: 2013
Outros Autores: Gomes, Rafael Beserra, Dantas, Rummenigge Rudson, Calbo, Adonai G., Gonçalves, Luiz Marcos Garcia
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/handle/123456789/30813
Resumo: Wearable computing is a form of ubiquitous computing that offers flexible and useful tools for users. Specifically, glove-based systems have been used in the last 30 years in a variety of applications, but mostly focusing on sensing people’s attributes, such as finger bending and heart rate. In contrast, we propose in this work a novel flexible and reconfigurable instrumentation platform in the form of a glove, which can be used to analyze and measure attributes of fruits by just pointing or touching them with the proposed glove. An architecture for such a platform is designed and its application for intuitive fruit grading is also presented, including experimental results for several fruits
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spelling Aroca, Rafael VidalGomes, Rafael BeserraDantas, Rummenigge RudsonCalbo, Adonai G.Gonçalves, Luiz Marcos Garcia2020-12-04T18:18:32Z2020-12-04T18:18:32Z2013-05-10AROCA, Rafael; GOMES, Rafael; DANTAS, Rummennigue; CALBO, Adonai; GONÇALVES, Luiz. A Wearable Mobile Sensor Platform to Assist Fruit Grading. Sensors, [S.L.], v. 13, n. 5, p. 6109-6140, 10 maio 2013. Disponível em: https://www.mdpi.com/1424-8220/13/5/6109. Acesso em: 05 out. 2020. http://dx.doi.org/10.3390/s130506109.1424-8220https://repositorio.ufrn.br/handle/123456789/3081310.3390/s130506109MDPIAttribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessFruit gradingWearable computingUbiquitous computingMobile sensingGlove-based platformA wearable mobile sensor platform to assist fruit gradinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleWearable computing is a form of ubiquitous computing that offers flexible and useful tools for users. Specifically, glove-based systems have been used in the last 30 years in a variety of applications, but mostly focusing on sensing people’s attributes, such as finger bending and heart rate. In contrast, we propose in this work a novel flexible and reconfigurable instrumentation platform in the form of a glove, which can be used to analyze and measure attributes of fruits by just pointing or touching them with the proposed glove. An architecture for such a platform is designed and its application for intuitive fruit grading is also presented, including experimental results for several fruitsengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALWearableMobileSensor_2013.pdfWearableMobileSensor_2013.pdfapplication/pdf3877856https://repositorio.ufrn.br/bitstream/123456789/30813/1/WearableMobileSensor_2013.pdf25ed9ec3cd084a7e60257cf51eb78abcMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/30813/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/30813/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53TEXTWearableMobileSensor_2013.pdf.txtWearableMobileSensor_2013.pdf.txtExtracted texttext/plain80067https://repositorio.ufrn.br/bitstream/123456789/30813/4/WearableMobileSensor_2013.pdf.txt265a3f7e63e48a6b3041c821c5afec8aMD54THUMBNAILWearableMobileSensor_2013.pdf.jpgWearableMobileSensor_2013.pdf.jpgGenerated Thumbnailimage/jpeg1603https://repositorio.ufrn.br/bitstream/123456789/30813/5/WearableMobileSensor_2013.pdf.jpga2f63e218e2ee5bc37d4250945b0805dMD55123456789/308132020-12-06 05:06:42.321oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2020-12-06T08:06:42Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv A wearable mobile sensor platform to assist fruit grading
title A wearable mobile sensor platform to assist fruit grading
spellingShingle A wearable mobile sensor platform to assist fruit grading
Aroca, Rafael Vidal
Fruit grading
Wearable computing
Ubiquitous computing
Mobile sensing
Glove-based platform
title_short A wearable mobile sensor platform to assist fruit grading
title_full A wearable mobile sensor platform to assist fruit grading
title_fullStr A wearable mobile sensor platform to assist fruit grading
title_full_unstemmed A wearable mobile sensor platform to assist fruit grading
title_sort A wearable mobile sensor platform to assist fruit grading
author Aroca, Rafael Vidal
author_facet Aroca, Rafael Vidal
Gomes, Rafael Beserra
Dantas, Rummenigge Rudson
Calbo, Adonai G.
Gonçalves, Luiz Marcos Garcia
author_role author
author2 Gomes, Rafael Beserra
Dantas, Rummenigge Rudson
Calbo, Adonai G.
Gonçalves, Luiz Marcos Garcia
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Aroca, Rafael Vidal
Gomes, Rafael Beserra
Dantas, Rummenigge Rudson
Calbo, Adonai G.
Gonçalves, Luiz Marcos Garcia
dc.subject.por.fl_str_mv Fruit grading
Wearable computing
Ubiquitous computing
Mobile sensing
Glove-based platform
topic Fruit grading
Wearable computing
Ubiquitous computing
Mobile sensing
Glove-based platform
description Wearable computing is a form of ubiquitous computing that offers flexible and useful tools for users. Specifically, glove-based systems have been used in the last 30 years in a variety of applications, but mostly focusing on sensing people’s attributes, such as finger bending and heart rate. In contrast, we propose in this work a novel flexible and reconfigurable instrumentation platform in the form of a glove, which can be used to analyze and measure attributes of fruits by just pointing or touching them with the proposed glove. An architecture for such a platform is designed and its application for intuitive fruit grading is also presented, including experimental results for several fruits
publishDate 2013
dc.date.issued.fl_str_mv 2013-05-10
dc.date.accessioned.fl_str_mv 2020-12-04T18:18:32Z
dc.date.available.fl_str_mv 2020-12-04T18:18:32Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv AROCA, Rafael; GOMES, Rafael; DANTAS, Rummennigue; CALBO, Adonai; GONÇALVES, Luiz. A Wearable Mobile Sensor Platform to Assist Fruit Grading. Sensors, [S.L.], v. 13, n. 5, p. 6109-6140, 10 maio 2013. Disponível em: https://www.mdpi.com/1424-8220/13/5/6109. Acesso em: 05 out. 2020. http://dx.doi.org/10.3390/s130506109.
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/handle/123456789/30813
dc.identifier.issn.none.fl_str_mv 1424-8220
dc.identifier.doi.none.fl_str_mv 10.3390/s130506109
identifier_str_mv AROCA, Rafael; GOMES, Rafael; DANTAS, Rummennigue; CALBO, Adonai; GONÇALVES, Luiz. A Wearable Mobile Sensor Platform to Assist Fruit Grading. Sensors, [S.L.], v. 13, n. 5, p. 6109-6140, 10 maio 2013. Disponível em: https://www.mdpi.com/1424-8220/13/5/6109. Acesso em: 05 out. 2020. http://dx.doi.org/10.3390/s130506109.
1424-8220
10.3390/s130506109
url https://repositorio.ufrn.br/handle/123456789/30813
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 3.0 Brazil
http://creativecommons.org/licenses/by/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 3.0 Brazil
http://creativecommons.org/licenses/by/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
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instname:Universidade Federal do Rio Grande do Norte (UFRN)
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reponame_str Repositório Institucional da UFRN
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