Implementation of Emergency Monitoring System using Biometric Data Lee Jong-Hak1, Park Koo-Rack2, Kim Dong-Hyun2, Kim Joon-Yong2 1Dept. of Computer Engineering, Kongju National Univercity, 1223–24, Cheonan-daero, Seobuk-gu, Cheonan-si, Chungcheongnam-do, 31080, South Korea 2Dept. of Computer Science & Engineering, Kongju National Univercity, 1223–24, Cheonan-daero, Seobuk-gu, Cheonan-si, Chungcheongnam-do, 31080, South Korea Online published on 14 May, 2018. Abstract Most emergencies faced by the socially vulnerable class occur in the absence of their protectors or observers. Therefore, unexpected accidents lead to taking their lives. To solve the problem, it is required to establish a system enable to notify a protector or an observer of an emergency in order to prevent and deal with an unexpected accident. An emergency monitoring system using biometric data receives biosignals from wearable devices, detects and judges an emergency with the use of emergency context awareness algorithm, and then gives a notification to a protector or an observer. The monitoring system implemented in this study is able to collect body temperature, heart rate, and work rate to recognize an emergency and to make a judgment on the basis of the received biosignals with the use of emergency context awareness algorithm. The emergency monitoring system using biometric data implemented in this study is expected to bring about better monitoring effects if it is able to monitor an emergency caused by external conditions (falling, fire, and gas leak), and to produce more effective rescue results in emergencies faced by senior people living alone, young children, or patients with serious illnesses. In the future, it will be necessary to research an image information connection system in the way of associating with CCTV images for better judgment on the conditions before and after an emergency in order to monitor and cope with an emergency more effectively. Top Keywords Emergency, Context Awareness, Wearable, IOT, Health Care. Top |