Person localization using sensor information fusion
Main Author: | |
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Publication Date: | 2014 |
Other Authors: | , , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/1822/34208 |
Summary: | Nowadays the incredible grow of mobile devices market led to the need for location-aware applications. However, sometimes person location is di cult to obtain, since most of these devices only have a GPS (Global Positioning System) chip to retrieve location. In order to sup- press this limitation and to provide location everywhere (even where a structured environment doesn't exist) a wearable inertial navigation sys- tem is proposed, which is a convenient way to track people in situations where other localization systems fail. The system combines pedestrian dead reckoning with GPS, using widely available, low-cost and low-power hardware components. The system innovation is the information fusion and the use of probabilistic methods to learn persons gait behavior to correct, in real-time, the drift errors given by the sensors. |
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Person localization using sensor information fusionPedestrian Navigation SystemInertial Navigation SystemIndoor LocationGPSProbabilistic algorithmsCiências Naturais::Ciências da Computação e da InformaçãoNowadays the incredible grow of mobile devices market led to the need for location-aware applications. However, sometimes person location is di cult to obtain, since most of these devices only have a GPS (Global Positioning System) chip to retrieve location. In order to sup- press this limitation and to provide location everywhere (even where a structured environment doesn't exist) a wearable inertial navigation sys- tem is proposed, which is a convenient way to track people in situations where other localization systems fail. The system combines pedestrian dead reckoning with GPS, using widely available, low-cost and low-power hardware components. The system innovation is the information fusion and the use of probabilistic methods to learn persons gait behavior to correct, in real-time, the drift errors given by the sensors.This work is part-funded by ERDF - European Regional Development Fund through the COMPETE Programme (operational programme for competitiveness) and by National Funds through the FCT Fundao para a Cincia e a Tecnologia (Portuguese Foundation for Science and Technology) within project FCOMP-01-0124-FEDER- 028980 (PTDC/EEI-SII/1386/2012). Ricardo also acknowledge FCT for the support of his work through the PhD grant (SFRH/DB/70248/2010).SpringerUniversidade do MinhoAnacleto, RicardoFigueiredo, LinoAlmeida, AnaNovais, Paulo20142014-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/34208engAnacleto R., Figueiredo L., Almeida A., Novais P., Person Localization using Sensor Information Fusion, Ambient Intelligence- Software and Applications – 5th International Symposium on Ambient Intelligence (ISAmI 2014), Carlos Ramos, Paulo Novais, Céline Nihan and Juan Corchado (Eds), Springer - Series Advances in Intelligent and Soft Computing, Vol. 291, ISBN 978-3 319-07595-2, pp 53-61, 2014.978-3 319-07595-22194-535710.1007/978-3-319-07596-9_6http://link.springer.com/chapter/10.1007%2F978-3-319-07596-9_6info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T05:11:59Zoai:repositorium.sdum.uminho.pt:1822/34208Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:11:17.247536Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Person localization using sensor information fusion |
title |
Person localization using sensor information fusion |
spellingShingle |
Person localization using sensor information fusion Anacleto, Ricardo Pedestrian Navigation System Inertial Navigation System Indoor Location GPS Probabilistic algorithms Ciências Naturais::Ciências da Computação e da Informação |
title_short |
Person localization using sensor information fusion |
title_full |
Person localization using sensor information fusion |
title_fullStr |
Person localization using sensor information fusion |
title_full_unstemmed |
Person localization using sensor information fusion |
title_sort |
Person localization using sensor information fusion |
author |
Anacleto, Ricardo |
author_facet |
Anacleto, Ricardo Figueiredo, Lino Almeida, Ana Novais, Paulo |
author_role |
author |
author2 |
Figueiredo, Lino Almeida, Ana Novais, Paulo |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Anacleto, Ricardo Figueiredo, Lino Almeida, Ana Novais, Paulo |
dc.subject.por.fl_str_mv |
Pedestrian Navigation System Inertial Navigation System Indoor Location GPS Probabilistic algorithms Ciências Naturais::Ciências da Computação e da Informação |
topic |
Pedestrian Navigation System Inertial Navigation System Indoor Location GPS Probabilistic algorithms Ciências Naturais::Ciências da Computação e da Informação |
description |
Nowadays the incredible grow of mobile devices market led to the need for location-aware applications. However, sometimes person location is di cult to obtain, since most of these devices only have a GPS (Global Positioning System) chip to retrieve location. In order to sup- press this limitation and to provide location everywhere (even where a structured environment doesn't exist) a wearable inertial navigation sys- tem is proposed, which is a convenient way to track people in situations where other localization systems fail. The system combines pedestrian dead reckoning with GPS, using widely available, low-cost and low-power hardware components. The system innovation is the information fusion and the use of probabilistic methods to learn persons gait behavior to correct, in real-time, the drift errors given by the sensors. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014 2014-01-01T00:00:00Z |
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/1822/34208 |
url |
http://hdl.handle.net/1822/34208 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Anacleto R., Figueiredo L., Almeida A., Novais P., Person Localization using Sensor Information Fusion, Ambient Intelligence- Software and Applications – 5th International Symposium on Ambient Intelligence (ISAmI 2014), Carlos Ramos, Paulo Novais, Céline Nihan and Juan Corchado (Eds), Springer - Series Advances in Intelligent and Soft Computing, Vol. 291, ISBN 978-3 319-07595-2, pp 53-61, 2014. 978-3 319-07595-2 2194-5357 10.1007/978-3-319-07596-9_6 http://link.springer.com/chapter/10.1007%2F978-3-319-07596-9_6 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
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