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http://dx.doi.org/10.7840/kics.2014.39C.4.315

Indoor Localization Methodology Based on Smart Phone in Home Environment  

Ahn, Daye (Hongik University, Dept. of Computer Engineering, Real-time System Lab.)
Ha, Rhan (Hongik University, Dept. of Computer Engineering, Real-time System Lab.)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.39C, no.4, 2014 , pp. 315-325 More about this Journal
Abstract
In ubiquitous environment, User's location information is very important to serve personalized service to user. Previous works consider only User's locations in the big buildings and assume APs are fixed. Normal home environment, However, is consists of small spaces. And the state of APs is highly fluid. Previous research has focused on indoor localization in the building where has stationary AP environment. However, in this paper, we propose as User's Location Predicting System that finds out a space where a user is located based on Wi-Fi Fingerprint approach in home environments. The results that conducted real home environments are using the system show more than 80% accuracy.
Keywords
Indoor Localization; Wi-Fi Fingerprint; Topic Modeling; GMM; Smartphone;
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Times Cited By KSCI : 4  (Citation Analysis)
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