An Indoor Location Method For Smartphone Using Two-Dimension Code

Location is one of the most widely utilized and important context, and indoor location is a hot area of research with difficulties for years. With the increasing diversity of build-in sensors, the smartphone is becoming the ideal device for context awareness in modern days.To support such indoor-location-awareness, a novel infrastructure for augmented reality (AR) and enhanced human-computer-interaction (HCI) is proposed in this paper. The contributions of this work includes:1) Designing the anchors using two-dimension barcode, which can be used to assist the location and orientation estimation for smartphones.2) Marked-based AR systems is unavailable when no marker is left within the camera vision. To access this issue, a combined approach using front-end camera and motion sensors is proposed and implemented.3) Devising and prototyping the EasyPointer for natural pointing interaction, achieving the promise of "What you point at is what you get" with screens.This proposed system is provided with location service of decimeter-level accuracy, which is a great improvement on previous works based on wireless signals. Applications for AR and HCI on mobile device would be robustly supported by this novel infrastructure.