Paper Details

Falls are the leading cause of fatal and non-fatal injuries among older adults, with over 36 million falls reported annually in the U.S., according to the CDC. AI-based fall detection systems offer an advanced solution by enhancing response times and safety through real-time, device-free monitoring using machine learning and computer vision. These systems provide continuous surveillance, accurately detecting falls and reducing the severity of injuries. Healthcare facilities, nursing homes, and private residences benefit from improved patient care and faster response times. By eliminating the need for wearable devices, these AI systems are more convenient and accessible for elderly users, ensuring wider coverage and increased reliability. As the elderly population grows, AI-driven fall detection will play a vital role in promoting independent living, timely interventions, and reducing healthcare costs associated with fall-related injuries.

Fall detection, computer vision, elderly safety, non-wearable devices, real-time monitoring