Falls are critical events among the elderly living alone in their rooms and can have intense
consequences, such as the elderly person being left to lie for a long time after the fall …

Falls among older adults substantially affect mobility, health, and mortality. However,
advancements in wireless and internet-of-things technologies have led to the development …

This paper makes four scientific contributions to the field of fall detection in the elderly to
contribute to their assisted living in the future of Internet of Things (IoT)-based pervasive …

Falling, as one of the main harm threats to the elderly, has drawn researchers' attentions and
has always been one of the most valuable research topics in the daily health-care for the …

Falls are a major health problem for the frail community dwelling old people. For more than
two decades, falls have been extensively investigated by medical institutions to mitigate their …

Physical falls are a significant threat for the elderly population. This research study reviews
the existing AI-based fall detection systems, which can also predict falls with an increased …

Remote monitoring of a fall condition or activities and daily life (ADL) of elderly patients has
become one of the essential purposes for modern telemedicine. Internet of Things (IoT) and …

Threshold-based fall detection has been widely adopted in conventional fall detection
systems. In this paper, we argue that a fixed threshold is not flexible enough for different …

The risk of falls in older adults restrict their social life and independent living. The assisted
living devices help older adults to live independently in their home, giving a psychological …

Falling is a commonly occurring mishap with elderly people, which may cause serious
injuries. Thus, rapid fall detection is very important in order to mitigate the severe effects of …