Fusing sensor information for location estimation.

作者: Odysseas Sekkas , Stathes Hadjiefthymiades , Evangelos Zervas , Ilissia Panepistimiopolis

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摘要: Pervasive computing is an emerging 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 key factor pervasive context aware applications: the location of user. The term “sensors” includes Wi-Fi adapters, IR receivers, RFID tag readers, etc. core fusion engine based on Dynamic Bayesian Networks (DBNs), powerful mathematical tool integrating heterogeneous sensor observations. closing, provide evaluation as it comes out experimental results.

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