Smart Emergency Rescue System Based on Biometric Authentication

As a social infrastructure, emergency rescue system aims increased survival rate. It consists of several steps: spot emergency, report emergency, give first aid and send to hospital. In order to efficiently use the golden time, the survival time of emergency patient, rapid action and proper first aid are necessary. Since emergency situation is reported verbally nowadays, it’s very difficult to identify the patient and the emergency location and hence, the golden time is wasted. Even though there were some attempts to use smartphone GPS sensor to figure out the emergency location, those were abortive since people felt far less responsibility of reporting emergency through smartphone application than through verbal explanation. Smartphone is a complex device that has various sensors of various functions. Recently, with the advent of the finger scan sensor, users are able to not only capture facial images and record voices but also scan fingerprint that can be used to identify a person. In this study, we propose a biometric based emergency rescue system, which utilizes various smartphone sensors. This system minimizes the time waste by automatically locating emergency spot and identifying both the reporter and the patient. Biometric data is used to identify the reporter and the patient. Since reporter is identified with biometric data, reporter holds responsibility of the report. Furthermore, trained technician gives proper first aid instruction to the reporter via visual telecommunication and this process is encrypted to ensure privacy.