Taking advantage of an existing indoor climate monitorization for measuring occupancy

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dc.contributor.authorSaralegui, Unai
dc.contributor.authorAnton, Miguel Angel
dc.contributor.authorOrdieres-Mere, Joaquin
dc.contributor.institutionTecnalia Research & Innovation
dc.contributor.institutionDIGITALIZACIĂ“N Y AUTOMATIZACIĂ“N DE LA CONSTRUCCIĂ“N
dc.date.issued2017
dc.descriptionPublisher Copyright: © 2017, World Scientific and Engineering Academy and Society. All rights reserved.
dc.description.abstractThis paper describes a procedure to gain additional information from an already existing infrastructure primarily designed for other purposes. The deployed sensor network consists of wirelessly communicated indoor climate monitoring sensors, for which it is tried to extend its usage by determining occupancy in the room they are located, in that way the system provides a higher level aspect of the house usage. An elderly caring institution’s building has been monitored for one year obtaining data about temperature, relative humidity and CO2 levels from five different rooms. Such data shows some interesting patterns as the air flow between the rooms which should be considered in any real case scenario. The data has been used to train some machine learning models, which show acceptable quality overall suggesting to use this kind of sensing equipment to perform an occupancy monitoring non-intrusively. The acquired knowledge could bring additional opportunities in the care of the elderly, especially for specific diseases that are usually accompanied by changes in patterns of behaviour. By using the occupancy status it could be possible to determine changes in the daily patterns in that segment of the population which could be an indicative of the initial states of a disease or a worsening in it.en
dc.description.statusPeer reviewed
dc.format.extent8
dc.format.extent2992344
dc.identifier.citationSaralegui , U , Anton , M A & Ordieres-Mere , J 2017 , ' Taking advantage of an existing indoor climate monitorization for measuring occupancy ' , WSEAS Transactions on Environment and Development , vol. 13 , pp. 327-334 .
dc.identifier.issn1790-5079
dc.identifier.otherresearchoutputwizard: 11556/417
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85031429302&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofWSEAS Transactions on Environment and Development
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsDomestic occupancy
dc.subject.keywordsClimate sensors
dc.subject.keywordsPattern analysis
dc.subject.keywordsHealth monitoring
dc.subject.keywordsSmart buildings
dc.subject.keywordsMachine learning
dc.subject.keywordsInternet of things
dc.subject.keywordsDomestic occupancy
dc.subject.keywordsClimate sensors
dc.subject.keywordsPattern analysis
dc.subject.keywordsHealth monitoring
dc.subject.keywordsSmart buildings
dc.subject.keywordsMachine learning
dc.subject.keywordsInternet of things
dc.subject.keywordsEnvironmental Engineering
dc.subject.keywordsEnvironmental Chemistry
dc.subject.keywordsEcological Modeling
dc.subject.keywordsDevelopment
dc.subject.keywordsWaste Management and Disposal
dc.subject.keywordsManagement, Monitoring, Policy and Law
dc.titleTaking advantage of an existing indoor climate monitorization for measuring occupancyen
dc.typejournal article
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