Indoor localization on mobile phone platforms using embedded inertial sensors

Indoor localization techniques are commonly based on measuring the Wi-Fi received signal strength (RSS) and the method of “fingerprinting”. The accuracy depends on density of recorded fingerprints in the radiomap (RM) database. Building and updating RM is expensive and labor-intensive. Taking advantage of ubiquity of smartphones with embedded inertial sensors yields an economic and easy-to-deploy indoor localization system. In this work, the accelerometer and digital compass are used to recognize the user´s dynamic activities and walking directions. And the particle filter integrates the building map constraints and inertial measurements to estimate user´s location. On this basis, an indoor localization system with no dense wireless site survey requirements is proposed and evaluated.