IoT Based Fall Detection Monitoring and Alarm System For Elderly

This paper presents an IoT based fall detection monitoring and alarm system for the elderly using 3-axis Accelerometer. In elderly, injuries induced by fall, becomes fatal sometimes, if timely medical interventions do not take place. Therefore, we aim to design a system to detect the fall and alert the medical experts about the incidents of distress. In the proposed system for detection of falling, the elderly patient's acceleration data are continuously acquired by using a wearable sensor and stored on a cloud server, using an IoT board. To access the stored data, an android application is designed for the medical expert to examine the fall in the elderly patient and provide the desired assistance, if needed. A threshold-based approach for the fall detection has been used to get the sensor data and set the threshold on accelerometer readings. A complete algorithm has been designed for the detection of genuine fall.