Falls are a primary accident for elderly people living independently. Obviously, timely and
accurate fall detection is critical to reduce the injuries and avoid the loss of life. In order to …

The consequences of a fall on an elderly person can be reduced if the accident is attended
by medical personnel within the first hour. Independent elderly people often stay alone for …

This study aims to evaluate a variety of existing and novel fall detection algorithms, for a
waist mounted accelerometer based system. Algorithms were tested against a …

More than one third of community-dwelling older adults and up to 60% of nursing home
residents fall each year, with 10–15% of fallers sustaining a serious injury. Reliable …

Falls in older people are a major challenge to public health. A wearable fall detector can
detect falls automatically based on kinematic information of the human body, allowing help …

Fall is a precipitous drop from a height, or from a higher position, which may be
accompanied by injuries. This is one of the most dangerous and fearful situation in the …

Novel algorithm and real-time ambulatory monitoring system for fall detection in elderly
people is described. Our system is comprised of accelerometer, tilt sensor and gyroscope …

Falls in elderly is a major health problem and a cost burden to social services. Thus
automatic fall detectors are needed to support the independence and security of the elderly …

In this paper we present a fall detection system for elderly people. The core of the system is
an intelligent sensor consisting of three accelerometers and a processor capable of …

Falls among older people remain a very important public healthcare issue. Every year over
11 million falls are registered in the US alone. This paper presents a practical real time fall …