Enabling Accurate Indoor Localization Using a Machine Learning Algorithm

Enabling Accurate Indoor Localization Using a Machine Learning Algorithm

In this paper, fingerprint referencing methods based on wireless fidelity Wi-Fi received signal strength (RSS) have used for indoor positioning. More precisely, Naïve Bayes, decision tree (DT), and support vector machine (SVM) one-to-one multi-classes and error-correcting-output-codes classifier are...

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Bibliographic Details
Main Authors: Haidar Abdulrahman Abbas, Kayhan Zrar Ghafoor
Format: Article
Language:English
Published: University of Human Development 2020-06-01
Series:UHD Journal of Science and Technology
Subjects:
received signal strength
wireless access points
wireless fidelity fingerprinting
indoor localization
decision tree
naïve bayes
support vector machine
Online Access:http://journals.uhd.edu.iq/index.php/uhdjst/article/view/741/546

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