Location based indoor and outdoor lightweight activity recognition system

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dc.contributor.authorBilbao Jayo, Aritz
dc.contributor.authorCantero López, Xabier
dc.contributor.authorAlmeida, Aitor
dc.contributor.authorFasano, Luca
dc.contributor.authorMontanaro, Teodoro
dc.contributor.authorSergi, Ilaria
dc.contributor.authorPatrono, Luigi
dc.date.accessioned2025-07-15T11:01:50Z
dc.date.available2025-07-15T11:01:50Z
dc.date.issued2022-01-25
dc.date.updated2025-07-15T11:01:49Z
dc.description.abstractIn intelligent environments one of the most relevant information that can be gathered about users is their location. Their position can be easily captured without the need for a large infrastructure through devices such as smartphones or smartwatches that we easily carry around in our daily life, providing new opportunities and services in the field of pervasive computing and sensing. Location data can be very useful to infer additional information in some cases such as elderly or sick care, where inferring additional information such as the activities or types of activities they perform can provide daily indicators about their behavior and habits. To do so, we present a system able to infer user activities in indoor and outdoor environments using Global Positioning System (GPS) data together with open data sources such as OpenStreetMaps (OSM) to analyse the user’s daily activities, requiring a minimal infrastructure.en
dc.description.sponsorshipFuturAAL-Ego (RTI2018-101045-AC22) granted by Spanish Ministry of Science, Innovation and Universities and the BD4QoL (875192) H2020 projecten
dc.identifier.citationBilbao-Jayo, A., Cantero, X., Almeida, A., Fasano, L., Montanaro, T., Sergi, I., & Patrono, L. (2022). Location based indoor and outdoor lightweight activity recognition system. Electronics, 11(3). https://doi.org/10.3390/ELECTRONICS11030360
dc.identifier.doi10.3390/ELECTRONICS11030360
dc.identifier.eissn2079-9292
dc.identifier.urihttps://hdl.handle.net/20.500.14454/3226
dc.language.isoeng
dc.publisherMDPI
dc.rights© 2022 by the authors
dc.subject.otherAmbient assisted living
dc.subject.otherIndoor positioning
dc.subject.otherInternet of things
dc.subject.otherPerformance
dc.subject.otherSmartphone
dc.subject.otherSmartwatch
dc.subject.otherWearable device
dc.titleLocation based indoor and outdoor lightweight activity recognition systemen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.issue3
oaire.citation.titleElectronics
oaire.citation.volume11
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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