Danger Tracker: A Safety and Health System for Wearable Devices

Abstract:
Currently, a number of wearable electronic devices available on the market can monitor potential hazards. However, previous research and development of these devices are too focused upon assorted functions rather than the actual performance of tracking danger, making this crucial function for humans waiting for improvement. Herein, we proposed integrating techniques of sensor data analysis and anomalous sound recognition and designing a safety and health system for wearable devices named Danger Tracker. The physiological data collected by the sensor will be sent to a server and eventually stored in a database. Data transmitted every three minutes will be sent immediately in case of an emergency health condition, after which alerts will be sent to users and their respective emergency contacts. Taking into consideration emergencies or threats to life are often accompanied by abnormal sounds, the microphone in a wearable device will, when trusted, collect audio information from the environment, including calls, moans, and threats that contain preset words. The device combines blood pressure and heart rate data in order to determine what the user encounters and will immediately notify the preset contact. Through the timely handling of emergencies, the system is able to ensure the safety of various groups of individuals. If the recipient of the health information is modified to a medical institution, timely feedback of abnormal conditions will significantly reduce the pressure of medical care and improve the overall efficiency of the hospitals during the current COVID-19 pandemic.