An increase in population of elderly people living in isolated environments, leads to the
need for an automated monitoring system. Fall is one of the major reasons for death of …

In this paper we present a method for real-time detection of human fall from video for support
of elderly people living alone in their homes. The detection algorithm has four steps …

We propose a novel context based human fall detection mechanism in real home
environment. Fall incidents are detected using head and floor information. The centroid …

Falls and resulting physical-psychological consequences in the elderly are a major health
hazard and a serious obstacle for independent living. So development of intelligent video …

In this paper, we propose a novel and robust fall detection system by using a density method
for modeling a fall event as a function of certain video feature. 3-D head velocity and human …

The problem of automatically fall detection of older people living alone is a popular research
topic since falls are one of the major health hazards among the aging population aged 65 …

Accidental falls are common causes of serious injury and health threats in the elder
population. To deliver adequate medical support, the robust and immediate falls detection is …

Fall detection for elderly and patient has been an active research topic due to that the
healthcare industry has a big demand for products and technology of fall detection. This …

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 …

With the introduction of new technology in our daily life, it is essential that this technology is
used for the aid of the elderly. Falls cause a very high risk to the elderly's life. Accordingly …