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Output details

11 - Computer Science and Informatics

University of Essex

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Output 5 of 135 in the submission
Article title

A Fuzzy Logic-Based System for Indoor Localization Using WiFi in Ambient Intelligent Environments

Type
D - Journal article
Title of journal
IEEE Transactions on Fuzzy Systems
Article number
-
Volume number
21
Issue number
4
First page of article
702
ISSN of journal
1941-0034
Year of publication
2013
URL
-
Number of additional authors
5
Additional information

<22> This paper presented a novel fuzzy logic system for the indoor localization using the freely available WiFi signals from a substantial number of Access Points whose locations are unknown. This is the first work that presented an incremental life-long learning approach to adjust the localization to the varying and changing WiFi signals and the first work to provide a non-intrusive accurate indoor localization system with a zero cost. This work in now deployed in industry as in the case of inLocSystems Ltd in Spain (contact: Juan Botia, email: juanbot@um.es).

Interdisciplinary
-
Cross-referral requested
-
Research group
A - Artificial Intelligence
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-