Toward the medical and living healthcare for the elderly and patients, fall from bed is a
critical accident that may lead to serious injuries. To alleviate this, an essential problem is to …

Automatic human fall detection is one important research topic in caring for vulnerable
people, such as elders at home and patients in medical places. Over the past decade …

The elderly population is increasing rapidly all over the world. One major risk for elderly
people is fall accidents, especially for those living alone. In this paper, we propose a robust …

The majority of the senior population lives alone at home. Falls can cause serious injuries,
such as fractures or head injuries. These injuries can be an obstacle for a person to move …

Falls are one of the major causes leading to injury of elderly people. Using wearable
devices for fall detection has a high cost and may cause inconvenience to the daily lives of …

Accidental falls of elderly people are a major cause of fatal injuries, especially for those
living alone. We present a novel vision–based fall detection approach that analyzes an …

Falls are reported to be the leading causes of accidental deaths among elderly people.
Automatic detection of falls from video sequences is an assistant technology for low-cost …

With the acceleration of the global aging process, the safety and health of the elderly has
become a widespread concern, and falls have become the main health threat of the elderly …

Abnormal falls in public places have significant safety hazards and can easily lead to
serious consequences, such as trampling by people. Vision-driven fall event detection has …

Fall incidents have been reported as the second most common cause of death, especially
for elderly people. Human fall detection is necessary in smart home healthcare systems …