The concept of intelligent visual identification of abnormal human activity has raised the
standards of surveillance systems, situation cognizance, homeland safety and smart …

Accidental fall is one of the most prevalent causes of loss of autonomy, deaths and injuries
among the elderly people. Fall detection and rescue systems with the advancement of …

Remote monitoring of older adults and detecting dangers in the state of human health have
become essential elements of modern telemedicine. Falls are a frequent reason for deaths …

Falls are a growing issue in society and has become a hot topic in the healthcare domain.
Falls are more likely to occur to due to age or health problems such as cardiovascular issues …

Since falls are a major cause of harm to older people, there is considerable demand for low-
cost fall detection systems. To meet demands of the end-users we propose a new …

The prevention of falls has become crucial in the modern healthcare domain and in society
for improving ageing and supporting the daily activities of older people. Falling is mainly …

As the population worldwide continues to age and the percentage of elderly people
continues to increase, falls have been become the second leading cause of death from …

In this paper, we present a new approach for reliable fall detection. The fuzzy system
consists of two input Mamdani engines and a triggering alert Sugeno engine. The output of …

Over the last decade, a large number of methods have been proposed for human fall
detection. Most existing methods were evaluated based on trimmed datasets. More …

Existing methods for fall detection may not detect a fall when it occurs or may generate a
false alarm when a fall does not occur. In order to overcome these limitations and detect falls …