As the world elderly population is increasing rapidly, the use of technology for the
development of accurate and fast automatic fall detection systems has become a necessity …

Falls represent a major public health risk worldwide for the elderly people. A fall not assisted
in time can cause functional impairment in an elderly and a significant decrease in his …

Fall detection is of increasing significance in terms of the health monitoring of the elderly and
disabled people, as falls may lead to physical injuries or even mental trauma. The existing …

Falls are the second leading cause of death from unintentional injuries in older adults.
Although many systems have been used to detect falls, they are limited by the computational …

The activity model based on 3D acceleration and gyroscope is created in this paper, and the
difference between the activities of daily living (ADLs) and falls is analyzed at first …

Common fall occurrences in the elderly population pose dramatic challenges in public
healthcare domain. Adoption of an efficient and yet highly reliable automatic fall detection …

Remote monitoring of a fall condition or activities and daily life (ADL) of elderly patients has
become one of the essential purposes for modern telemedicine. Internet of Things (IoT) and …

This paper makes four scientific contributions to the field of fall detection in the elderly to
contribute to their assisted living in the future of Internet of Things (IoT)-based pervasive …

Falls have long been one of the most serious threats to elderly people's health. Detecting
falls in real-time can reduce the time the elderly remains on the floor after a fall, hence …

Falls are the leading cause of fatal injuries in the elderly such as fractures, and secondary
damage from falls can lead to death. As such, fall detection is a crucial topic. However, due …