An indoor augmented-reality evacuation system for the Smartphone using personalized Pedometry

Abstract

There currently exist widely used mobile phone emergency applications for the smartphone and limited mobile emergency applications for indoor environments. However, the outdoor applications only focus primarily on providing accident information to users, and the indoor applications are limited by the unavailability of GPS user-positioning and by WiFi-based access problems. To compensate for these limitations, we propose the RescueMe system, which uses an indoor mobile Augmented Reality application, personalized pedometry, and an optimal exit path algorithm. Together these components comprise a system that can quickly and easily recommend an efficient exit path to mobile phone users in emergency situations. We have developed the mobile-based RescueMe system for use in large-scale buildings that contain complex paths. We show how RescueMe leverages the sensors on a smartphone and utilizes Augmented Reality, cloud information, daily-based user walking patterns, and an adaptive GPS connection method, to deliver critical evacuation information to mobile phone users in indoor emergency situations.