Fusing sensor information for location estimation

dc.contributor.author	Σέκκας, Οδυσσέας	el
dc.contributor.author	Χατζηευθυμιάδης, Στάθης Π.	el
dc.contributor.author	Ζέρβας, Ευάγγελος	el
dc.date.accessioned	2015-05-24T17:00:32Z
dc.date.available	2015-05-24T17:00:32Z
dc.date.issued	2015-05-24
dc.identifier.uri	http://hdl.handle.net/11400/11049
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.subject	Data stream
dc.subject	Emerging computing paradigm
dc.subject	Fusion engines
dc.subject	Heterogeneous sensors
dc.subject	Location estimation
dc.subject	Ροή δεδομένων
dc.subject	Ετερογενείς αισθητήρες
dc.subject	Εκτίμηση τοποθεσίας
dc.title	Fusing sensor information for location estimation	en
heal.type	conferenceItem
heal.classification	Technology
heal.classification	Environmental technology
heal.classification	Τεχνολογία
heal.classification	Περιβαλλοντική τεχνολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://lod.nal.usda.gov/5857
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Περιβαλλοντική τεχνολογία
heal.identifier.secondary	ISSN: 16130073
heal.language	en
heal.access	campus
heal.publicationDate	2006
heal.bibliographicCitation	Sekkas, O., Hadjieftymiades, S.P. & Zervas, E. (2006) Fusing sensor information for location estimation, In: Proceedings of the 10th East-European Conference on Advances in Databases and Information Systems, ADBIS 2006. Thessaloniki, Greece. 3-7 September, 2006. [online] 215. p. 16.	en
heal.abstract	Pervasive computing is an emerging computing paradigm that provides new improved services for everyone, everywhere and at all times. In this paper * we discuss a system which exploits data streams derived from sensors, in order to accurately 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, RFID tag readers, 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, we provide an evaluation of the system as it comes out from the experimental results.	en
heal.fullTextAvailability	true
heal.conferenceName	10th East-European Conference on Advances in Databases and Information Systems, ADBIS 2006	en
heal.conferenceItemType	poster