The number of elderly people living alone has been considerably increased over the past
few years. Hence the research regarding Ambient Assisted Living (AAL) systems has been …

Nowadays, recognizing human activities is an important subject; it is exploited widely and
applied to many fields in real-life, especially health care or context aware application …

Automatic detection of unusual events such as falls is very important especially for elderly
people living alone. Realtime detection of these events can reduce the health risks …

Camera based fall detection represents a solution to the problem of people falling down and
being not able to stand up on their own again. For elderly people who live alone, such a fall …

Abnormal activities detection is a major challenge to health care services, caregivers and
families. Since some of these activities such as fall and anesthesia can be dangerous to …

The authors present efficient and effective algorithms for fall detection on the basis of
sequences of depth maps and data from a wireless inertial sensor worn by a monitored …

The number of elderly people living alone have increased over the last years and fall is one
of major risks that threaten their lives. Computer vision is one of the accurate solution for fall …

Falling in the home is one of the major challenges to independent living among older adults.
The associated costs, coupled with a rapidly growing elderly population, are placing a …

Among the elderly people, falls have become a common health problem. With a growing
population of elderly people, health systems are needed to meet the necessities of elderly …

Fall detection became a major concern especially for elderly who lives alone at home.
Unexpected situations might happen that influence their health, security and well-being. The …