Water quality analysis using mmWave radars

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorSalami, Dariushen_US
dc.contributor.authorJuvakoski, Annien_US
dc.contributor.authorVahala, Rikuen_US
dc.contributor.authorBeigl, Michaelen_US
dc.contributor.authorSigg, Stephanen_US
dc.contributor.departmentDepartment of Information and Communications Engineeringen
dc.contributor.departmentDepartment of Built Environmenten
dc.contributor.groupauthorAmbient Intelligenceen
dc.contributor.groupauthorWater and Environmental Engineeringen
dc.contributor.organizationKarlsruhe Institute of Technologyen_US
dc.date.accessioned2024-01-17T08:35:18Z
dc.date.available2024-01-17T08:35:18Z
dc.date.issued2023en_US
dc.descriptionFunding Information: This project has received funding from the European Union s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant agreement No. 813999, HPY Research Foundation and Nokia Foundation. Funding Information: ACKNOWLEDGMENT This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant agreement No. 813999, HPY Research Foundation and Nokia Foundation. Publisher Copyright: © 2023 IEEE. | openaire: EC/H2020/813999/EU//WINDMILL
dc.description.abstractWater quality and drinkability assessment are of high importance for various applications from monitoring water utilities to emergency water source evaluation. Traditionally, water quality assessment is done in laboratories with spacious and expensive equipment. We propose a wearable, mm Wave Frequency-Modulated Continuous Wave (FMCW) radar based system to assess water quality. Given its small form-factor, low price, and its robustness to lighting and weather conditions, this family of radars can be integrated into wearable devices such as smart-watches, smart glasses, smart rings, etc. Equipped with mm Wave radar sensors, such wearables enable seamless monitoring of water quality in hands free settings. The proposed system is able to directly process the In-phase and Quadrature (IQ) data generated by the radar to detect varying levels of different contaminants in four different kinds of water. Specifically, it can identify different concentrations of salt with 100% accuracy, namely nitrate and chloride, as well as detecting different types of waters including Reverse Osmosis (RO), tap, river, and well water with 99.1 % accuracy.en
dc.description.versionPeer revieweden
dc.format.extent4
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationSalami, D, Juvakoski, A, Vahala, R, Beigl, M & Sigg, S 2023, Water quality analysis using mmWave radars. in 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023. IEEE International Conference on Pervasive Computing and Communications Workshops, IEEE, pp. 412-415, IEEE International Conference on Pervasive Computing and Communications Workshops, Atlanta, United States, 13/03/2023. https://doi.org/10.1109/PerComWorkshops56833.2023.10150256en
dc.identifier.doi10.1109/PerComWorkshops56833.2023.10150256en_US
dc.identifier.isbn978-1-6654-5381-3
dc.identifier.issn2766-8576
dc.identifier.otherPURE UUID: f44dfc4e-d58f-427c-a80d-f961dc986616en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/f44dfc4e-d58f-427c-a80d-f961dc986616en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85164140445&partnerID=8YFLogxK
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/133652889/Water_Quality_Analysis.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/125898
dc.identifier.urnURN:NBN:fi:aalto-202401171573
dc.language.isoenen
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/813999/EU//WINDMILLen_US
dc.relation.ispartofIEEE International Conference on Pervasive Computing and Communications Workshopsen
dc.relation.ispartofseries2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023en
dc.relation.ispartofseriespp. 412-415en
dc.relation.ispartofseriesIEEE International Conference on Pervasive Computing and Communications Workshopsen
dc.rightsopenAccessen
dc.subject.keywordAIen_US
dc.subject.keywordMLen_US
dc.subject.keywordmmWave radaren_US
dc.subject.keywordwater quality analysisen_US
dc.titleWater quality analysis using mmWave radarsen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionacceptedVersion

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