Elevator Motion States Recognition Using Barometer Support Indoor Positioning System

Abstract

Indoor positioning is widespread applications in health monitoring, navigation and other indoor position services. There are a variety of researches focusing on solving indoor position problems, but most of them are using the accelerometer to solve horizontal positions. Nevertheless, there are a lot of buildings and houses where people are using the elevator to move among the floors. Hence, it is difficult to estimate the positions vertically when the users use the elevator in motion. This paper aims to integrate a barometer in indoor positioning system (IPS) for elevator motion recognition and proposes a new feature name “pressure standard deviation” from barometer recording data to distinguish among elevator up, elevator down, still, stairs up, stairs down to track the position of user in vertical axis. Our experimental results achieve 100% accuracy in distinguishing the state of elevator up, elevator down, still, stairs up, stairs down and estimate exactly and real-time in vertical axis.