Calibration of smartphone sensor data usable for pedestrian dead reckoning

There are an increasing number of smartphone applications using indoor positioning. Ideally, no additional infrastructure is needed and only sensors already present in smartphones are used to compute positions indoors. Therefore, approaches such as pedestrian dead reckoning and human motion monitoring are currently being reviewed. In fact, these approaches are not only being reviewed by research facilities, but are already implemented as application programming interfaces in smartphone operating systems. Step detection, turn detection or magnetic orientation exist as implemented interfaces. However, these interfaces use the raw, uncalibrated smartphone sensor measurements. The presented research analyzes the sensors that can be used for pedestrian dead reckoning, discusses how to calibrate sensor measurements without costly equipment and shows the benefits of using calibrated rather than raw, uncalibrated sensor measurements for pedestrian dead reckoning applications.