Currently there is no standard indoor positioning system, similar to outdoor GPS. However,
WiFi signals have been used in a large number of proposals to achieve the above …

Nowadays, there are a multitude of solutions for indoor positioning, as opposed to standards
for outdoor positioning such as GPS. Among the different existing studies on indoor …

The integration of various fingerprints could intuitively improve localization accuracy in
indoor localization systems; however, the limitation of applying various fingerprints in …

Radio channel state information (CSI) measured with many receivers is a good resource for
localizing a transmitter device with machine learning with a discriminative model. However …

Due to its high-dimensional data characteristics, the channel state information (CSI) of Wi-Fi
signals has become a strong candidate for use in indoor localization. In addition, machine …

In recent years, indoor localization systems based on fingerprinting have had significant
advances yielding high accuracies. Those approaches often use information about channel …

Device-free indoor localization methods based on Channel State Information (CSI) have
become an increasingly important technique. The Naive Bayes (NB) classifier has been …

This paper proposes a practical physical tampering detection mechanism using inexpensive
commercial off-the-shelf (COTS) Wi-Fi endpoint devices with a deep neural network (DNN) …

Received signal strength‐(RSS‐) based localization has attracted considerable attention for
its low cost and easy implementation. In plenty of existing work, sensor positions, which play …

Various machine learning techniques on indoor localization using radio signals are being
rapidly developed to achieve a sub-meter accuracy under noisy and complex environments …