Component Mapping Method for Indoor Localization System based on Mixed Reality

Abstract

As the technology of the Internet of Things develops and spreads, the interest of the existing outdoor location information system is concentrated on the indoor information system. Recently, indoor localization has been actively researched, but signal-based method such as WiFi, BLE, UWB, and magnetic field have limitations in accuracy depending on the indoor propagation environment. In this paper, we propose an indoor localization method with high scalability and low computational complexity based on Component/Body abstracting indoor structure. To demonstrate the efficiency of this system, we experimented at 25 arbitrary indoor spaces and showed an 88 percent accuracy. We predict that this system will solve the problems of existing signal-based method and contribute to improving social stability.