A Wearable Pedestrian Localization and Gait Identification System Using Kalman Filtered Inertial Data

In this article, we introduce a pedestrian dead reckoning (PDR)-based navigation device that does not require global navigation satellite system (GNSS) signals or beacons and works with an inertial measurement unit (IMU) mounted on its waist belt. The system identifies the individual by their walking pattern to use the proper gains in the computations, estimates the attitude by applying an unscented Kalman filter, and finally derives the position in three dimensions with the help of a step detection algorithm. The experimental results show an outdoor 4.7-km walk resulting in an error of 0.96%.

Automated summary

This article presents a PDR-based navigation device that utilizes a pedestrian's walking pattern to identify individuals, does not rely on GNSS signals or beacons, and utilizes an IMU for attitude estimation and position calculation using a step detection algorithm. Experimental results show a 0.96% error for a 4.7km outdoor walk.