Injuries from falls are one of the most common and dangerous accidents affecting elderly individuals. Falls result in injuries, limited mobility, and dependency on other people. Prompt medical attention following a fall is crucial in reducing harmful consequences and keeping elderly people residing alone safe. In this proposed project, a wearable embedded system known as "Wearable Embedded Device for Fall Detection and Emergency Alert for Elderly People" is suggested. This proposed design uses motion sensors such as the accelerometer and gyroscope to detect the movement of the body of the patient. After detecting any significant changes in acceleration or an unusual body position that signifies the occurrence of a fall, the microcontroller inside analyze the data and determines whether there is indeed a case of a fall. If a fall occurs, the system will automatically trigger the communication module and send an emergency message via GSM, Wi-Fi, or Bluetooth to pre-set contacts, along with the GPS location of the user if available. The device will be made small enough to wear comfortably on the wrist, neck, or waist and be able to use less power to save battery life. The system is real-time, meaning that it acts quickly in times of emergencies. There may also be features such as an emergency button, buzzers, and application interface.

Keywords : Fall Detection, Elderly Care, IoT, Wearable Device, Accelerometer, GSM, Microcontroller, Health Monitoring.