Fusion System Design of Multi-sensors and Visual Algorithm For Elderly Fall Detection

Abstract

In recent years, the population of the elderly in China is increasing, entering an aging society. Most elderly people have a fall experience, and the number and probability of falls increase with age. If there is no timely warning and rescue after the elderly fall, it may cause secondary injury due to failure to rescue in time. With the development of artificial intelligence and the corresponding demand increase, it has become an inevitable trend to seek comprehensive fall detection and monitoring equipment. Thus, we introduce a cloud-processing IoT system that combines sensor detection and visual detection.