According to the World Health Organization, fall is the second most common cause of accidental injury deaths in the world. There are multiple factors and causes of fall, including illness like heart attack, difficulty in vision, and muscle weakness of elders. With a growing elderly population, there's an urgent need for the fall detection system since a timely medical treatment can mitigate the negative impact of falls.

Our Fall Detecting Algorithm is designed to monitor the motion of a person using accelerometer data and detect a falling motion. This algorithm can be used in various wearable devices to detect falling and send that information to families or make emergency alerts to get help on time.