Fall detection for elderly people using machine learning

Health is the most worrying element, and its impermanence increases with age. Caregiving for the elderly is therefore a major responsibility. In this instance, technology is helping people go about their regular lives. One of the biggest causes of elderly people’s health decline or death is "falling." A machine learning-based fall detection system is proposed in this study. The system detects falls by classifying various behaviors into fall and non-fall activities, and in an emergency, it alerts a family member or other senior person’s caretaker. The data set Sis-Fall, which contains a variety of activities carried out by multiple persons, is utilized to determine attributes.