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Traveled Distance Estimation Algorithm for Indoor Localization

2014Journal article Open access
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dc.contributor.authorTerra, Rui
dc.contributor.authorFigueiredo, Lino
dc.contributor.authorBarbosa, Ramiro S.
dc.contributor.authorAnacleto, Ricardo
dc.date.accessioned2015-04-30T11:13:52Z
dc.date.available2015-04-30T11:13:52Z
dc.date.issued2014
dc.date.updated2015-01-28T16:23:20Z
dc.description.abstractThis paper presents an ankle mounted Inertial Navigation System (INS) used to estimate the distance traveled by a pedestrian. This distance is estimated by the number of steps given by the user. The proposed method is based on force sensors to enhance the results obtained from an INS. Experimental results have shown that, depending on the step frequency, the traveled distance error varies between 2.7% and 5.6%.por
dc.identifier.citationTerra, Rui; Figueiredo, Lino; Barbosa, Ramiro; Anacleto, Ricardo. Traveled Distance Estimation Algorithm for Indoor Localization, Procedia Technology, 17, 0, 248-255, 2014.por
dc.identifier.doi10.1016/j.protcy.2014.10.235
dc.identifier.issn2212-0173
dc.identifier.urihttp://hdl.handle.net/10400.22/5867
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherElsevierpor
dc.relation.ispartofseriesProcedia Technology;Vol. 17
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S221201731400471Xpor
dc.subjectInertial Navigation Systempor
dc.subjectPedestrian Dead Reckoningpor
dc.subjectStep Frequencypor
dc.subjectStep Length Estimationpor
dc.titleTraveled Distance Estimation Algorithm for Indoor Localizationpor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage255por
oaire.citation.startPage248por
oaire.citation.volume17por
person.familyNameFigueiredo
person.familyNameBarbosa
person.givenNameLino
person.givenNameRamiro
person.identifier156328
person.identifier.ciencia-idD21E-663F-11CE
person.identifier.ciencia-id9F1E-CA64-4C8B
person.identifier.orcid0000-0002-9375-4228
person.identifier.orcid0000-0001-7410-8872
person.identifier.scopus-author-id7006640438
person.identifier.scopus-author-id8582675300
rcaap.rightsopenAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublication2b4c1659-86b2-453f-ab78-a3f2d3b81169
relation.isAuthorOfPublicationae867f98-4683-47cf-910d-16d5cd4517ba
relation.isAuthorOfPublication.latestForDiscoveryae867f98-4683-47cf-910d-16d5cd4517ba

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