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Fusing sensor information for location estimation (EN)

Σέκκας, Οδυσσέας (EL)
Χατζηευθυμιάδης, Στάθης Π. (EL)
Ζέρβας, Ευάγγελος (EL)

conferenceItem
poster

2015-05-24
2015-05-24T17:00:32Z

2006


10th East-European Conference on Advances in Databases and Information Systems, ADBIS 2006 (EN)
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)

**N/A**-Τεχνολογία
Περιβαλλοντική τεχνολογία
http://lod.nal.usda.gov/5857
Emerging computing paradigm
Τεχνολογία
Location estimation
**N/A**-Περιβαλλοντική τεχνολογία
Data stream
Technology
Environmental technology
Fusion engines
Ροή δεδομένων
http://id.loc.gov/authorities/subjects/sh85133147
Heterogeneous sensors
Ετερογενείς αισθητήρες
Εκτίμηση τοποθεσίας


Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
http://creativecommons.org/licenses/by-nc-nd/3.0/us/
campus




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