Please use this identifier to cite or link to this item: http://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1948
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dc.contributor299983es_ES
dc.contributor.otherhttps://orcid.org/0000-0002-7635-4687-
dc.coverage.spatialGlobales_ES
dc.creatorGalván Tejada, Carlos Eric-
dc.creatorGarcía Vázquez, Juan Pablo-
dc.creatorGalván Tejada, Jorge-
dc.creatorDelgado Contreras, Rubén-
dc.creatorBrena, Ramón-
dc.date.accessioned2020-05-25T19:34:18Z-
dc.date.available2020-05-25T19:34:18Z-
dc.date.issued2015-09-10-
dc.identifierinfo:eu-repo/semantics/publishedVersiones_ES
dc.identifier.issn1424-8220es_ES
dc.identifier.urihttp://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1948-
dc.identifier.urihttps://doi.org/10.48779/exr2-hg19-
dc.descriptionIn this paper, we present the development of an infrastructure-less indoor location system (ILS), which relies on the use of a microphone, a magnetometer and a light sensor of a smartphone, all three of which are essentially passive sensors, relying on signals available practically in any building in the world, no matter how developed the region is. In our work, we merge the information from those sensors to estimate the user’s location in an indoor environment. A multivariate model is applied to find the user’s location, and we evaluate the quality of the resulting model in terms of sensitivity and specificity. Our experiments were carried out in an office environment during summer and winter, to take into account changes in light patterns, as well as changes in the Earth’s magnetic field irregularities. The experimental results clearly show the benefits of using the information fusion of multiple sensors when contrasted with the use of a single source of informationes_ES
dc.description.abstractIn this paper, we present the development of an infrastructure-less indoor location system (ILS), which relies on the use of a microphone, a magnetometer and a light sensor of a smartphone, all three of which are essentially passive sensors, relying on signals available practically in any building in the world, no matter how developed the region is. In our work, we merge the information from those sensors to estimate the user’s location in an indoor environment. A multivariate model is applied to find the user’s location, and we evaluate the quality of the resulting model in terms of sensitivity and specificity. Our experiments were carried out in an office environment during summer and winter, to take into account changes in light patterns, as well as changes in the Earth’s magnetic field irregularities. The experimental results clearly show the benefits of using the information fusion of multiple sensors when contrasted with the use of a single source of informationes_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationhttps://www.mdpi.com/1424-8220/15/8/20355es_ES
dc.relation.urigeneralPublices_ES
dc.sourceSensors, Vol. 15, No, 8, pp. 20355-20372es_ES
dc.subject.classificationINGENIERIA Y TECNOLOGIA [7]es_ES
dc.subject.otherindoor locationes_ES
dc.subject.otheruser’s locationes_ES
dc.titleInfrastructure-Less Indoor Localization Using the Microphone, Magnetometer and Light Sensor of a Smartphonees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
Appears in Collections:*Documentos Académicos*-- M. en Ciencias del Proc. de la Info.

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