Fuzzy proximity estimation with opportunistic use of Wi-Fi and GSM fingerprints

Abstract

Lack of communication is often the major problem during an emergency situations in large or small crowds in indoor environments. The scope of this project is to tackle this problem by keeping in touch with people and guide them through the emergency. This will be done by implementing a Fingerprint Match Algorithm which will detect the location of all users in the indoor environment through their mobile device. With all the locations, group formations can be estimated, so each group could be directed to safety by sending the people of each group messages with directions depending on location.