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 …

Human fall detection is a critical research area focused on develo** methods and systems
that can automatically detect and recognize falls, particularly among the elderly and …

In recent years, health-care industry has received a major boost due to sensors ie,
accelerometers, magnetometers etc., which allow its user to get instant updates about their …

We implement a smart watch-based system to predict fall detection. We differentiate fall
detection from four common daily activities: sitting, squatting, running, and walking …

Activity recognition systems can detect human physical activities to support the assessment
of health conditions. Among approaches of activity recognition systems were researched …

Falls, which are increasing at an unprecedented rate in the global elderly population, are
associated with a multitude of needs such as healthcare, medical, caregiver, and economic …

Falling is a common phenomenon in the life of the elderly, and it is also one of the 10 main
causes of serious health injuries and death of the elderly. In order to prevent falling of the …

There has been increasing interest in the application of artificial intelligence technologies to
improve the quality of support services in healthcare. Some constraints, such as space …

As the number of aged population grows, fall detection has attracted considerable research
attentions in recent years. Through the data collected by wearable sensors and specific …

Fall-related injury is a common cause of mortality among the elderly. Hip fractures are
especially dangerous and can even be fatal. In this study, a threshold-based preimpact fall …