Enhancing location estimation through data fusion

dc.contributor.author	Σέκκας, Οδυσσέας	el
dc.contributor.author	Χατζηευθυμιάδης, Στάθης Π.	el
dc.contributor.author	Ζέρβας, Ευάγγελος	el
dc.date.accessioned	2015-05-24T18:23:09Z
dc.date.issued	2015-05-24
dc.identifier.uri	http://hdl.handle.net/11400/11063
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://ieeexplore.ieee.org/	en
dc.subject	Dynamical systems
dc.subject	Estimation
dc.subject	Fusion reactions
dc.subject	Inference engines
dc.subject	Δυναμικά συστήματα
dc.subject	Εκτίμηση
dc.subject	Αντιδράσεις σύντηξης
dc.subject	Μηχανές συμπερασμού
dc.title	Enhancing location estimation through data fusion	en
heal.type	conferenceItem
heal.classification	Technology
heal.classification	Electrical engineering
heal.classification	Τεχνολογία
heal.classification	Ηλεκτρολογία Μηχανολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://zbw.eu/stw/descriptor/18426-4
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Ηλεκτρολογία Μηχανολογία
heal.identifier.secondary	DOI: 10.1109/PIMRC.2006.254053
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.publicationDate	2006
heal.bibliographicCitation	Sekkas, O., Hadjieftymiades, S.P. & Zervas, E. (2006) Enhancing location estimation through data fusion, In: Proceedings of the IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC. Helsinki, Finland. 11-14 September, 2006. [online]. p. 1-5, 4022275. Available from: http://ieeexplore.ieee.org/	en
heal.abstract	In this paper* we discuss a system that exploits observations derived from sensors, in order to estimate a key factor for pervasive computing and context aware applications: the location of a user. The term "sensors" includes Wi-Fi adapters, IR receivers, etc. The core of the system is the fusion engine which is based on Dynamic Bayesian Networks (DBNs), a powerful mathematical tool for integrating heterogeneous sensor observations. In closing, is provided an evaluation of the system as it comes out from the experimental results.	en
heal.publisher	IEEE	en
heal.fullTextAvailability	false
heal.conferenceName	IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC	en
heal.conferenceItemType	poster