Step count and classification using sensor information fusion

Bibliographic Details
Main Author: Anacleto, Ricardo
Publication Date: 2015
Other Authors: Figueiredo, Lino, Almeida, Ana, Novais, Paulo, Meireles, António
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/1822/51539
Summary: In order to suppress the GNSS (Global Navigation Satellite System) limitation to track persons in indoor or in dense environments, a pedestrian inertial navigation system can be used. However, this type of systems have huge location estimation errors due to the Pedestrian Dead Reckoning (PDR) characteristics and the use of low-cost inertial sensors. To suppress some of these errors we propose a system that uses several sensors spread in person's body combined with information fusion techniques. Information fusion techniques provide lighter algorithms implementations, to count and classify the type of step, to run in mobile devices. Thus, improving pedestrian inertial navigation systems accuracy.
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spelling Step count and classification using sensor information fusionPedestrian Inertial Navigation SystemStep CountInformation FusionDynamic Time WarpingIn order to suppress the GNSS (Global Navigation Satellite System) limitation to track persons in indoor or in dense environments, a pedestrian inertial navigation system can be used. However, this type of systems have huge location estimation errors due to the Pedestrian Dead Reckoning (PDR) characteristics and the use of low-cost inertial sensors. To suppress some of these errors we propose a system that uses several sensors spread in person's body combined with information fusion techniques. Information fusion techniques provide lighter algorithms implementations, to count and classify the type of step, to run in mobile devices. Thus, improving pedestrian inertial navigation systems accuracy.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 - Fundação para a Ciência 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.info:eu-repo/semantics/publishedVersionSpringerUniversidade do MinhoAnacleto, RicardoFigueiredo, LinoAlmeida, AnaNovais, PauloMeireles, António20152015-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/51539eng978-3-319-19694-72194-53572194-536510.1007/978-3-319-19695-4_9978-3-319-19695-4info: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:RCAAP2024-05-11T04:27:02Zoai:repositorium.sdum.uminho.pt:1822/51539Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:48:36.208155Repositórios 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 Step count and classification using sensor information fusion
title Step count and classification using sensor information fusion
spellingShingle Step count and classification using sensor information fusion
Anacleto, Ricardo
Pedestrian Inertial Navigation System
Step Count
Information Fusion
Dynamic Time Warping
title_short Step count and classification using sensor information fusion
title_full Step count and classification using sensor information fusion
title_fullStr Step count and classification using sensor information fusion
title_full_unstemmed Step count and classification using sensor information fusion
title_sort Step count and classification using sensor information fusion
author Anacleto, Ricardo
author_facet Anacleto, Ricardo
Figueiredo, Lino
Almeida, Ana
Novais, Paulo
Meireles, António
author_role author
author2 Figueiredo, Lino
Almeida, Ana
Novais, Paulo
Meireles, António
author2_role author
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
Meireles, António
dc.subject.por.fl_str_mv Pedestrian Inertial Navigation System
Step Count
Information Fusion
Dynamic Time Warping
topic Pedestrian Inertial Navigation System
Step Count
Information Fusion
Dynamic Time Warping
description In order to suppress the GNSS (Global Navigation Satellite System) limitation to track persons in indoor or in dense environments, a pedestrian inertial navigation system can be used. However, this type of systems have huge location estimation errors due to the Pedestrian Dead Reckoning (PDR) characteristics and the use of low-cost inertial sensors. To suppress some of these errors we propose a system that uses several sensors spread in person's body combined with information fusion techniques. Information fusion techniques provide lighter algorithms implementations, to count and classify the type of step, to run in mobile devices. Thus, improving pedestrian inertial navigation systems accuracy.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-01-01T00:00:00Z
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/1822/51539
url http://hdl.handle.net/1822/51539
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-3-319-19694-7
2194-5357
2194-5365
10.1007/978-3-319-19695-4_9
978-3-319-19695-4
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.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
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833594903414702080

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