AN IOT BASED SMART MONITORING SYSTEM DETECTING PATIENT FALLS

Fall detection systems are important instruments for senior citizens whether they are in a hospital, at home, or in a senior living facility. Existing fall detection systems are often passive and require pushbutton to alarm care providers. The delay can cause significant consequences and damages to the patients. Early detection is vital for quick recovery and prevention of post injuries. Recent sensory detections often use pre-settings to predict fall, hence can cause false alarms. Further, they often cannot furnish vital information for treatment. A smart fall detection system can alleviate those concerns and pinpoint what happened and transfers vital data. We propose an active detection system using IoT in patient's surroundings environment detecting falls, which immediately alarms the care providers and transmits vital information for treatment. The system integrates advanced ICT technologies to monitor, detect, and react to the falls. The system uses ANN to improve fall detections.