Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/34208

TitlePerson localization using sensor information fusion
Author(s)Anacleto, Ricardo
Figueiredo, Lino
Almeida, Ana
Novais, Paulo
KeywordsPedestrian Navigation System
Inertial Navigation System
Indoor Location
GPS
Probabilistic algorithms
Issue date2014
PublisherSpringer
JournalAdvances in Intelligent Systems and Computing
CitationAnacleto 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.
Abstract(s)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.
TypeConference paper
URIhttp://hdl.handle.net/1822/34208
ISBN978-3 319-07595-2
DOI10.1007/978-3-319-07596-9_6
ISSN2194-5357
Publisher versionhttp://link.springer.com/chapter/10.1007%2F978-3-319-07596-9_6
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CCTC - Artigos em atas de conferências internacionais (texto completo)

Files in This Item:
File Description SizeFormat 
2014 - AISC Springer ISAmI AFAN.pdf1,51 MBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID