Localization using radial basis function networks and signal trength fingerprints in WLAN
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
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In this demo, we present an efficient hybrid indoor positioning solution that uses multi-sensory location-oriented observations, including WiFi, accelerometer, gyroscope and digital compass data, that are widely available on Android smartphones.