In the US, at least one fall occurs in at least 28.7% of community-dwelling seniors 65 and
older each year. Falls had medical costs of USD 51 billion in 2015 and are projected to …

Automatic Fall detection is one of the most promising applications of wearables in the field of
mobile health. The characterization of the effectiveness of wearable fall detectors is …

A fall is an abnormal behavior that rarely occurs, however, once it occurs in a crowded
scenario, it is prone to cause local disturbance, density-velocity fluctuations, and crowd …

The continuous development of intelligent video surveillance systems has increased the
demand for enhanced vision-based methods of automated detection of anomalies within …

Slip-induced falls are a growing health concern for older adults, and near-fall events are
associated with an increased risk of falling. To detect older adults at a high risk of slip …

Falls are a significant health problem in older people, so preventing them is essential. Since
falls are often a consequence of improper reaction to gait disturbances, such as slips and …

Fall risks to health and safety are especially dangerous for those with impairments. An
automated fall detection system is necessary, especially in medical and senior care. The …

Falls are sudden incidents that cause the body to go down onto the ground or toward the
ground without intention or by accident. Falls can result in physical injuries and mental …

Falls are the main factor contributing to nonfatal and fatal injuries among older persons. Fall
detection on sensor data uses different sensors to identify when an individual has fallen. The …

Quantifying human daily activities can provide relevant monitoring information about
physical activities and fall risk, and wearable sensors are promising devices for activity …