Indoor Pedestrian Positioning and Dead Reckoning

Falling is one of the most common accidental injuries among elderly patients with Parkinson’s disease [1]. After the falling accident, it is necessary to quickly obtain high-precision and stable positioning information of the elderly, and the specific location can help to rescue the elderly in time [2]. Therefore, developing low-cost and high-precision indoor pedestrian navigation has significant practical significance. Among all indoor navigation or positioning technologies, a pedestrian dead reckoning (PDR) holds the advantages of low cost and high autonomy, which has been widely used in indoor navigation [3], and a inertial pedestrian navigation system (IPNS) can achieve autonomous navigation without relying on additional external information [4]. The PDR system based on Micro-Electro-Mechanical Systems & Inertial Measurement Unit (MEMS-IMU) holds full-autonomy and strong anti-interference performances [5]. However, inertial sensors may suffer from noise, instability, and drift in running, so accumulating positioning error for over time may make it difficult to reach to high-precision navigation requirements. Therefore, there is an urgent need for designing a reliable indoor navigation system based on PDR technology.