Smartphone-based Pedestrian localization algorithm using inertial and light sensors

To assist clinical profession for further diagnosis, patients are usually ordered to do additional examinations in the outpatient clinic process. However, patients are easily to get lost for a visit due to the complex environment and poor wayfinding in the hospital. In this work, the smartphone-based localization system is developed using inertial sensors and light sensor. The proposed positioning algorithm combines the motion model (Pedestrian Dead Reckoning and Footpath approaches) and the light model. The proposed positioning algorithm utilizes the step information, the map information, and the light information to improve the performance of Pedestrian Dead Reckoning and Footpath approaches.