Using GSM CellID positioning for place discovering

Detalhes bibliográficos
Autor(a) principal: Meneses, Filipe
Data de Publicação: 2007
Outros Autores: Moreira, Adriano
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/6223
Resumo: Mobile phones can be used not only for voice and data communications but also as a computing device running context-aware applications. In this paper we present a model that, based on GSM cell identification, identifies places visited by a user and provides a user familiarity level for each of these places. This information can be used by context-aware applications to adapt their behaviour accordingly to the knowledge its user has about the current location. The achieved results are assessed by overlapping the discovered places with manual collected data, showing that GSM cellID positioning data can be used to identify places that are closer to each other than the average cell radius.
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spelling Using GSM CellID positioning for place discoveringLocationGSM cellIDPositioningContext improvementPlace discoveryFamiliarityContextMobile phones can be used not only for voice and data communications but also as a computing device running context-aware applications. In this paper we present a model that, based on GSM cell identification, identifies places visited by a user and provides a user familiarity level for each of these places. This information can be used by context-aware applications to adapt their behaviour accordingly to the knowledge its user has about the current location. The achieved results are assessed by overlapping the discovered places with manual collected data, showing that GSM cellID positioning data can be used to identify places that are closer to each other than the average cell radius.(undefined)Universidade do MinhoMeneses, FilipeMoreira, Adriano20072007-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/6223eng142441086X10.1109/PCTHEALTH.2006.361692info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-11T04:19:30Zoai:repositorium.sdum.uminho.pt:1822/6223Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-11T04:19:30Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Using GSM CellID positioning for place discovering
title Using GSM CellID positioning for place discovering
spellingShingle Using GSM CellID positioning for place discovering
Meneses, Filipe
Location
GSM cellID
Positioning
Context improvement
Place discovery
Familiarity
Context
title_short Using GSM CellID positioning for place discovering
title_full Using GSM CellID positioning for place discovering
title_fullStr Using GSM CellID positioning for place discovering
title_full_unstemmed Using GSM CellID positioning for place discovering
title_sort Using GSM CellID positioning for place discovering
author Meneses, Filipe
author_facet Meneses, Filipe
Moreira, Adriano
author_role author
author2 Moreira, Adriano
author2_role author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Meneses, Filipe
Moreira, Adriano
dc.subject.por.fl_str_mv Location
GSM cellID
Positioning
Context improvement
Place discovery
Familiarity
Context
topic Location
GSM cellID
Positioning
Context improvement
Place discovery
Familiarity
Context
description Mobile phones can be used not only for voice and data communications but also as a computing device running context-aware applications. In this paper we present a model that, based on GSM cell identification, identifies places visited by a user and provides a user familiarity level for each of these places. This information can be used by context-aware applications to adapt their behaviour accordingly to the knowledge its user has about the current location. The achieved results are assessed by overlapping the discovered places with manual collected data, showing that GSM cellID positioning data can be used to identify places that are closer to each other than the average cell radius.
publishDate 2007
dc.date.none.fl_str_mv 2007
2007-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/6223
url http://hdl.handle.net/1822/6223
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 142441086X
10.1109/PCTHEALTH.2006.361692
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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