ePrints.FRI - University of Ljubljana, Faculty of Computer and Information Science

Wi-Fi signal classification and visitor counting by region

Nejc Župec (2015) Wi-Fi signal classification and visitor counting by region. MSc thesis.

Download (7Mb)


    More and more mobile devices transmit Wi-Fi signals which can be detected by access points. Consequently the number of visitors near access points can be measured. Often we are interested in the number of visitors only for a certain region. Therefore, in the context of master's thesis, methods and products for indoor localization were studied. We transformed the localization problem into classification of Wi-Fi signals problem. Based on existing methods (nearest base station, trilateration and RADAR) we developed three new methods. In order to evaluate these methods the sytem for capturing Wi-Fi signals was set up at the Faculty of Computer and Information Science in Ljubljana. The data was being collected for two months. Based on machine learning algorithms we developed a new method, which correctly predicts the region in 85,1 % cases. If regions are separated by walls, the classification accuracy is more than 93 %.

    Item Type: Thesis (MSc thesis)
    Keywords: Wi-Fi, classification, SVM, machine learning, RADAR, trilateration, localization
    Number of Pages: 122
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    doc. dr. Mojca Ciglarič256Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1536399555)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3006
    Date Deposited: 02 Jul 2015 12:13
    Last Modified: 13 Aug 2015 08:32
    URI: http://eprints.fri.uni-lj.si/id/eprint/3006

    Actions (login required)

    View Item