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https://hdl.handle.net/1822/34238
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Campo DC | Valor | Idioma |
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dc.contributor.author | Anacleto, Ricardo | por |
dc.contributor.author | Figueiredo, Lino | por |
dc.contributor.author | Almeida, Ana | por |
dc.contributor.author | Novais, Paulo | por |
dc.date.accessioned | 2015-03-06T10:54:25Z | - |
dc.date.available | 2015-03-06T10:54:25Z | - |
dc.date.issued | 2014 | - |
dc.identifier.isbn | 9788490123553 | por |
dc.identifier.uri | https://hdl.handle.net/1822/34238 | - |
dc.description.abstract | Nowadays there is an increase of location-aware mobile applications. However, these applications only retrieve location with a mobile device’s GPS chip. This means that in indoor or in more dense environments these applications don’t work properly. To provide location information everywhere a pedestrian Inertial Navigation System (INS) is typically used, but these systems can have a large estimation error since, in order to turn the system wearable, they use low-cost and low-power sensors. In this work a pedestrian INS is proposed, where force sensors were included to combine with the accelerometer data in order to have a better detection of the stance phase of the human gait cycle, which leads to improvements in location estimation. Besides sensor fusion an information fusion architecture is proposed, based on the information from GPS and several inertial units placed on the pedestrian body, that will be used to learn the pedestrian gait behavior to correct, in real-time, the inertial sensors errors, thus improving location estimation. | por |
dc.description.sponsorship | This work is funded by National Funds through the FCT - Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within project PEst- OE/EEI/UI0752/2014. The work of Ricardo Anacleto is supported by a doctoral grant by FCT SFRH/BD/70248/2010. | por |
dc.language.iso | eng | por |
dc.publisher | IEEE | por |
dc.rights | openAccess | por |
dc.subject | Pedestrian Inertial Navigation System | por |
dc.subject | Indoor location | por |
dc.subject | GPS | por |
dc.subject | Force sensors | por |
dc.subject | Sensor fusion | por |
dc.subject | Information fusion | por |
dc.title | Localization system for pedestrians based on sensor and information fusion | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6916127&tag=1 | por |
sdum.publicationstatus | published | por |
oaire.citationStartPage | 42 | por |
oaire.citationEndPage | 47 | por |
oaire.citationTitle | 17th International Conference on Information Fusion - FUSION 2014 | por |
dc.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | por |
dc.subject.wos | Science & Technology | por |
sdum.conferencePublication | 17th International Conference on Information Fusion - FUSION 2014 | por |
sdum.bookTitle | 2014 17TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION) | por |
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Ficheiro | Descrição | Tamanho | Formato | |
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2014 - IEEE Fusion.pdf | 2,01 MB | Adobe PDF | Ver/Abrir |