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An Efficient Geomagnetic Indoor Positioning System Using Smartphones

Abstract

Due to the presence of large steel components inside building, the geomagnetic field is affected and distorted. Such changes in magnetic field are used for indoor localization. We present an indoor positioning system using magnetic sensor in a smartphone to detect the position of user. Unlike other positioning systems based on Wi-Fi, Beacon, and ultra wide band, this system does not rely on any external infrastructure. Therefore, this magnetic field based positioning system is cost effective and easy to maintain. Our approach consisted of two phases an offline and an online. In the offline phase, the magnetic readings were taken at all reference points and the magnetic map was generated. Then, during the online phase, the magnetic readings from the smartphone were compared to the reference ones stored in database to estimate the current user’s position. Our results show a positioning accuracy below 2 meters during 70% of the experiment time.

Publication
In International Conference on Next Generation Computing

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Source Themes
Bimal Bhattarai
PhD Researcher

My research interests include artificial intelligence, deep learning, natural language processing etc.