Signal Based Device-Free Tracking

Abstract

In recent years, device-free tracking has been studied for convenience and needs in a variety of areas including the AR, VR, and entertainment industries. Motion tracking with the camera provides good performance, however there are some restrictions caused by lighting. In addition, there is a drawback that the amount of calculation is also high as much data is input. Many approaches have been proposed to overcome these shortcomings. Acoustic signal-based tracking is a good alternative because it consumes relatively low energy and does not require additional equipment. Signal-based tracking measures the relative distance of an object using the phase difference of the received signals. There are still several challenges when estimating the absolute distance to an object, and hence the accuracy is not guaranteed. We propose a peak signal-based estimation method that is very suitable for mobile devices with very accurate and low computational complexity. Experiment results show high accuracy and feasibility.