Fall Detection Systems (FDS) are automated systems designed to detect falls experienced
by older adults or individuals. Early or real-time detection of falls may reduce the risk of …

Since falls are a major public health problem among older people, the number of systems
aimed at detecting them has increased dramatically over recent years. This work presents …

Activity detection and classification are very important for autonomous monitoring of humans
for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …

Older adults (65+) are becoming primary users of emerging smart systems, especially in
health care. However, these technologies are often not designed for older users and can …

Falls are a major health problem for the frail community dwelling old people. For more than
two decades, falls have been extensively investigated by medical institutions to mitigate their …

Improvements in life expectancy achieved by technological advancements in the recent
decades have increased the proportion of elderly people. Frailty of old age, susceptibility to …

Falls and fall-related injuries are major incidents, especially for elderly people, which often
mark the onset of major deterioration of health. More than one-third of home-dwelling people …

Falls among older adults substantially affect mobility, health, and mortality. However,
advancements in wireless and internet-of-things technologies have led to the development …

This paper presents a state-of-the-art survey of smartphone (SP)-based solutions for fall
detection and prevention. Falls are considered as major health hazards for both the elderly …

In recent years, an ever increasing range of technology-based applications have been
developed with the goal of assisting in the delivery of more effective and efficient fall …