Paper Info
Title
An Adaptive Learning Fuzzy Logic System For Indoor Localisation Using Wi-Fi In Ambient Intelligent Environments
Abstract
One of the important requirements for Ambient Intelligent Environments (AIEs) is the ability to localise the whereabouts of the user in the AIE to address her/his needs. The outdoor localisation means (like GPS systems) cannot be used in indoor environments. The majority of non intrusive and non camera based indoor localisation systems require the installation of extra hardware such as ultra sound emitters/antennas, RFID antennas, etc. In this paper, we will propose a novel fuzzy logic based indoor localisation system which is based on the WiFi signals which are free to receive and they are available in abundance in the majority of domestic spaces. The proposed system receives WiFi signals from a big number of existing WiFi Access Points (up to 170 Access Points) with no prior knowledge of the access points locations and the environment. The proposed system is able to adapt online incrementally in a lifelong learning mode to deal with the uncertainties and changing conditions facing unknown indoor structures with a few days of calibration at zero-cost deployment with high accuracy. The proposed system was tested in simulated and real environments where the system has given high accuracy (that outperformed the existing techniques) to detect the user in the given AIE and the system was able also to adapt its behaviour to changes in the AIE or the WiFi signals.
Year
DOI
Venue
2012
10.1109/FUZZ-IEEE.2012.6250769
2012 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE)
Keywords
DocType
ISSN
fuzzy sets,artificial intelligence,learning artificial intelligence,fuzzy set theory,fuzzy systems,uncertainty,fuzzy logic,indexes
Conference
1098-7584
Citations 
PageRank 
References 
3
0.38
16
Authors
7
Name
Order
Citations
PageRank
Teresa García-Valverde1626.88
Alberto García-Sola2535.54
Antonio F. Gómez-Skarmeta373493.79
Juan A. Botía437035.47
Hani Hagras51747129.26
James Dooley610710.04
Victor Callaghan757143.02