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Person localization using sensor information fusion

Bibliographic Details
Main Author: Anacleto, Ricardo
Publication Date: 2014
Other Authors: Figueiredo, Lino, Almeida, Ana, Novais, Paulo
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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spelling 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
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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