Android App for Indoor Localization

Abstract

There have been many project efforts on location awareness in an indoor environment. Most of them rely on specialized equipment or motion detectors. This project focuses on signal strengths from WiFi transmitters and use these signal strengths to calibrate virtual pinpoints. A pinpoint is a collection of stored signal strengths over time on a predetermined location. These pinpoints can then be used to situate the surroundings of an environment and determine the current measurement its position by providing the necessary information needed to the tracking methods. The experiments of this project are set up with low-end routers in an actual indoor work environment to get the baseline results with less than perfect circumstances. The tracking methods used are based on different locating techniques. These techniques vary from converting signal strength to distance, or using signal strength as a ratio difference between distances, to using signal strength to get the average distance variation in an area. All these techniques allow us to calculate the distance to the locations of the signals. These distances are then converted into a position by calculating the radical centre of the corresponding circles