A Smartphone Short-Range Path Estimation with Hyperbolic Function for Spinning Magnet Marker

Recently, an importance of location information has increased with the spread of smartphones. Our purpose is to estimate a smartphone position with a few centimeters error. In addition, we would like to recognize behavior patterns of people, and targets of their interest. These information will provide new services. For example, at an event venue, it will be possible to provide information about other exhibits according to their positions. There is a method that can estimate a position of a magnetic sensor with a few centimeters error is using dynamic magnetism. This method is available even if under strong environmental magnetism because it uses frequency of dynamic magnetism to positioning. However, it is difficult to apply these positioning methods to a smartphone, because a sampling frequency of a magnetic sensor mounted on a smartphone is dozen of hertz, whereas these methods use a dynamic magnetism with several kilohertz [1], [2]. Therefore, we developed a Spinning Magnetic Marker (SMM) which generates dynamic magnetism by spinning a strong magnet, and proposed a positioning method based on dynamic magnetism which can be applied to a smartphone [3], [4]. In this study, we propose a method to estimate a short-range path of a moving smartphone by the hyperbolic function, and curve fitting with magnetism equation.