Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/131972
DC FieldValueLanguage
dc.contributor.authorRufo, Sarayen_US
dc.contributor.authorAguiar-Castillo, Lidiaen_US
dc.contributor.authorRufo Torres,Julio Franciscoen_US
dc.contributor.authorPerez-Jimenez, Rafaelen_US
dc.date.accessioned2024-07-01T08:45:45Z-
dc.date.available2024-07-01T08:45:45Z-
dc.date.issued2024en_US
dc.identifier.issn2079-9292en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/131972-
dc.description.abstractThis research presents a novel approach by applying convolutional neural networks (CNNs) to enhance optical camera communication (OCC) signal detection under challenging indoor lighting conditions. The study utilizes a smartphone app to capture images of an LED lamp that emits 25 unique optical codes at distances of up to four meters. The developed CNN model demonstrates superior accuracy and outperforms traditional methodologies, which often struggle under variable illumination. This advancement provides a robust solution for reliable OCC detection where previous methods underperform, particularly in the tourism industry, where it can be used to create a virtual museum on the Unity platform. This innovation showcases the potential of integrating the application with a virtual environment to enhance tourist experiences. It also establishes a comprehensive visible light positioning (VLP) system, marking a significant advance in using CNN for OCC technology in various lighting conditions. The findings underscore the effectiveness of CNNs in overcoming ambient lighting challenges, paving the way for new applications in museums and similar environments and laying the foundation for future OCC system improvements.en_US
dc.languageengen_US
dc.relation.ispartofElectronics (Switzerland)en_US
dc.sourceElectronics (Switzerland)[EISSN 2079-9292],v. 13 (10), (Mayo 2024)en_US
dc.subject3325 Tecnología de las telecomunicacionesen_US
dc.subject.otherConvolutional Neural Networksen_US
dc.subject.otherIndoor Positioningen_US
dc.subject.otherLighting Constraintsen_US
dc.subject.otherOptical Camera Communicationen_US
dc.subject.otherSimulationen_US
dc.titleNeural Network-Based Detection of OCC Signals in Lighting-Constrained Environments: A Museum Use Caseen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/electronics13101828en_US
dc.identifier.scopus85194241487-
dc.identifier.isi001233059700001-
dc.contributor.orcid0000-0001-8897-5619-
dc.contributor.orcidNO DATA-
dc.contributor.orcid0000-0002-2269-6729-
dc.contributor.orcid0000-0002-8849-592X-
dc.contributor.authorscopusid59145175700-
dc.contributor.authorscopusid57209208178-
dc.contributor.authorscopusid35168120700-
dc.contributor.authorscopusid56044417600-
dc.identifier.eissn2079-9292-
dc.identifier.issue10-
dc.relation.volume13en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.contributor.daisngidNo ID-
dc.contributor.daisngidNo ID-
dc.contributor.daisngidNo ID-
dc.contributor.daisngidNo ID-
dc.description.numberofpages16en_US
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Rufo, S-
dc.contributor.wosstandardWOS:Aguiar-Castillo, L-
dc.contributor.wosstandardWOS:Rufo, J-
dc.contributor.wosstandardWOS:Perez-Jimenez, R-
dc.date.coverdateMayo 2024en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-TELen_US
dc.description.sjr0,644-
dc.description.jcr2,9-
dc.description.sjrqQ2-
dc.description.jcrqQ2-
dc.description.scieSCIE-
dc.description.miaricds10,5-
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptGIR IDeTIC: División de Fotónica y Comunicaciones-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptGIR IDeTIC: División de Fotónica y Comunicaciones-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptGIR IDeTIC: División de Fotónica y Comunicaciones-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-9938-0386-
crisitem.author.orcid0000-0002-2269-6729-
crisitem.author.orcid0000-0002-8849-592X-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameAguiar Castillo, Carmen Lidia-
crisitem.author.fullNameRufo Torres,Julio Francisco-
crisitem.author.fullNamePérez Jiménez, Rafael-
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