A Personalized Intelligent Monitoring System for Rescue Operations

摘要

Rescue missions are very critical in saving the lives of many people. The people who involve themselves in the same risk their lives in order to save the lives of the victims. In such cases, tracking a person in case of dense areas can be of huge difficulty as GPS signal will not be in a position to penetrate through the buildings. They have the chance of getting reflected back, thereby leading to erroneous prediction of the location of the person. It would be handy to develop a wearable that can help in tracking the person. This can be of great use during rescue operations in forests. JARVIS is the device that we have developed, which is a personalized monitoring system to track the person in case if the place has no access to GPS using an Inertial Measurement Unit (IMU). The IMU sensor has accelerometer, gyrometer and magnetometer which can be used to estimate the route. Pedestrian Dead Reckoning algorithm and Zero Velocity Update algorithm have been used in order to find the position of a person relative to the initial position that can be fixed. We estimate the position of the person with an accuracy of 50 cm. Moreover, it becomes essential to predict the state of a person who is involved in rescue missions as the life of the person is at huge risk. Hence, the activity of a person is being recognized using Machine learning in real-time and is sent to a server. In addition to the above mentioned features, we use pulse sensor and temperature sensor in order to track the health condition of a person so that we get information about the condition of the person so that first aid can be given in case of emergency. This can be used in various rescue missions such as fire rescue operations and military operations where the person who is involved in rescue mission needs to be monitored so that effective first aid can be given to him promptly in case of unexpected body state of the person. Thus, JARVIS can be an effective device in such situations.