Augmented Reality Approach For Position-based Service using Handheld Smartphone

Abstract

In this work, we present an augmented reality (AR) approach for position based service using a smartphone in an indoor environment. The AR method, combined with position estimation, provides a user with a smartphone with a service that is specific to a particular position without using a marker or any other hardware device. The position in an indoor environment is estimated using an IMU sensor only in the smartphone. The accuracy of the position and heading direction of the user is improved by integrating the values from the accelerometer and the gyro using Principal Component Analysis(PCA) and Extended Kalman Filter(EKF). Then, a drift noise of the estimated position is reduced by a registration step performed at a specific position. The estimated position is given to the position based service, which is provided to the user on the smartphone screen through AR. The concept of the proposed method is demonstrated with some examples.