Accidental falls are a major source of loss of autonomy, deaths, and injuries among the
elderly. Accidental falls also have a remarkable impact on the costs of national health …

Internet of Things (IoT) is a system that integrates different devices and technologies,
removing the necessity of human intervention. This enables the capacity of having smart (or …

Fall causes trauma or critical injury among the geriatric population which is a second
leading accidental cause of post-injury mortality around the world. It is crucial to keep elderly …

Falls are an important factor in significantly deteriorating quality of life of older adults,
consequently leading to both physical and psychological harm. A wearable-based fall …

A computational system able to automatically and efficiently detect and classify falls would
be beneficial for monitoring the elderly population and speed up the assistance …

In the recent past, recognition of human locomotion activities has become a growing
research area. Health monitoring, detection of a crowd's behavior and indoor-localization …

Research on pre-impact fall detection with wearable inertial sensors (detecting fall accidents
prior to body-ground impacts) has grown rapidly in the past decade due to its great potential …

Fall detection is a very challenging task that has a clear impact in the autonomous living of
the elderly individuals: suffering a fall with no support increases the fears of the elderly …

Given the high prevalence and detrimental effects of unintentional falls in the elderly, fall
detection has become a pertinent public concern. A Fall Detection System (FDS) gathers …

Activity and Fall detection have been a topic of keen interest in the field of ambient assisted
living system research. Such systems make use of different sensing mechanisms to monitor …