Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/22109
Registo completo
Campo DC | Valor | Idioma |
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dc.contributor.author | Marques, Nelson | - |
dc.contributor.author | Meneses, Filipe | - |
dc.contributor.author | Moreira, Adriano | - |
dc.date.accessioned | 2013-01-02T14:07:01Z | - |
dc.date.available | 2013-01-02T14:07:01Z | - |
dc.date.issued | 2012-11-13 | - |
dc.identifier.citation | Nelson Marques, Filipe Meneses, Adriano Moreira, "Combining similarity functions and majority rules for multi-building, multi-floor, WiFi Positioning ", 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Sydney, Australia, 13-15 November, pp. 1-9, 2012 | por |
dc.identifier.isbn | 9781467319546 | por |
dc.identifier.issn | 2162-7347 | por |
dc.identifier.uri | https://hdl.handle.net/1822/22109 | - |
dc.description.abstract | Fingerprint is one of the most widely used methods for locating devices in indoor wireless environments and we have witnessed the emergence of several positioning systems aimed for indoor environments based on this approach. However, additional efforts are required in order to improve the performance of these systems so that applications that are highly dependent on user location can provide better services to its users. In this work we discuss some improvements to the positioning accuracy of the fingerprint-based systems. Our algorithm ranks the information about the location in a hierarchical way by identifying the building, the floor, the room and the geometric position. The proposed fingerprint method uses a previously stored map of the signal strength at several positions and determines the position using similarity functions and majority rules. In particular, we compare different similarity functions to understand their impact on the accuracy of the positioning system. The experimental results confirm the possibility of correctly determining the building, the floor and the room where the persons or the objects are at with high rates, and with an average error around 3 meters. Moreover, detailed statistics about the errors are provided, showing that the average error metric, often used by many authors, hides many aspects on the system performance. | por |
dc.description.sponsorship | This work was supported by the FEDER program through the COMPETE and the Portuguese Science and Technology Foundation (FCT), within the context of projects SUM – Sensing and Understanding human Motion dynamics (PTDC/EIA-EIA/113933/2009) and TICE.Mobilidade (COMPETE 13843). | por |
dc.language.iso | eng | por |
dc.publisher | IEEE | por |
dc.rights | openAccess | por |
dc.subject | Fingerprinting | por |
dc.subject | Indoor positioning | por |
dc.subject | Rssi | por |
dc.subject | Wlan | por |
dc.subject | Mobile computing | por |
dc.subject | ingerprinting | por |
dc.title | Combining similarity functions and majority rules for multi-building, multi-floor, WiFi positioning | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
sdum.publicationstatus | published | por |
oaire.citationStartPage | 1 | por |
oaire.citationEndPage | 9 | por |
oaire.citationConferencePlace | Sydney, Australia | por |
oaire.citationTitle | 2012 International Conference on Indoor Positioning and Indoor Navigation, Sydney, Australia, 13-15 November | por |
dc.identifier.doi | 10.1109/IPIN.2012.6418937 | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | International Conference on Indoor Positioning and Indoor Navigation | por |
sdum.conferencePublication | 2012 International Conference on Indoor Positioning and Indoor Navigation, Sydney, Australia, 13-15 November | por |
Aparece nas coleções: | DSI - Sistemas de Computação e Comunicações |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2012_NM_ACM.pdf | Documento principal | 904,21 kB | Adobe PDF | Ver/Abrir |