Gate-Passing Detection Method Using WiFi and Accelerometer

Abstract

Gate-passing information is useful for daily activity recording. We propose a gate-passing detection method using WiFi and accelerometer. Since doors divide such physical areas as rooms and hallways, the WiFi environments tend to greatly vary. A gate should exist when the points in the WiFi environments are significantly different. We define such points as WiFi significant points and propose a detection method based on a WiFi propagation model and estimated moving distance according to an accelerometer. We evaluated our proposed method and found out that most door passings can be detected. We also found that we can estimate the existence of doors that have identical door passings with a high degree of accuracy. Furthermore, we propose a cumulative error correction method of pedestrian dead-reckoning based on our proposed method as an application.