ZARATAMAP: Noise characterization in the scope of a smart city through a low cost and mobile electronic embedded system

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dc.contributor.authorHernández Jayo, Unai
dc.contributor.authorGoñi, Amaia
dc.date.accessioned2025-09-05T10:17:25Z
dc.date.available2025-09-05T10:17:25Z
dc.date.issued2021-03-02
dc.date.updated2025-09-05T10:17:25Z
dc.description.abstractLike other sources of pollution, noise is considered to be one of the main concerns of citizens, due to its invisibility and the potential harm it can cause. Noise pollution could be considered as one of the biggest quality-of-life concerns for urban residents in big cities, mainly due to the high levels of noise to which they may be exposed. Such levels have proven effects on health, such as: sleep disruption, hypertension, heart disease, and hearing loss. In a scenario where the number of people concentrated in cities is increasing, tools are needed to quantify, monitor, characterize, and quantify noise levels. This paper presents the ZARATAMAP project, which combines machine learning techniques with a geo-sensing application so that the authorities can have as much information as possible, using a low-cost embedded and mobile node, that is easy to deploy, develop, and use.en
dc.description.sponsorshipThis research was funded by Basque Government grant number ZL-2020/00094 at HAZITEK 2020 programen
dc.identifier.citationHernandez-Jayo, U., & Goñi, A. (2021). ZARATAMAP: Noise characterization in the scope of a smart city through a low cost and mobile electronic embedded system. Sensors, 21(5). https://doi.org/10.3390/S21051707
dc.identifier.doi10.3390/S21051707
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/20.500.14454/3518
dc.language.isoeng
dc.publisherMDPI AG
dc.rights© 2021 by the authors
dc.subject.otherDynamic noise mapping
dc.subject.otherInternet of cities
dc.subject.otherMachine learning
dc.subject.otherNoise characterization
dc.titleZARATAMAP: Noise characterization in the scope of a smart city through a low cost and mobile electronic embedded systemen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.issue5
oaire.citation.titleSensors
oaire.citation.volume21
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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