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

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 …

With the advancement in the healthcare and medicine sector, now a day's average life span
of humans has increased. Due to an increase in average life expectancy, the demographic …

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 …

To ensure healthy lives and promoting well-being for all in the society at all ages is one of
the goals of United Nations. Specially, health of elderly people plays an important factor in …

Fatal injuries and hospitalizations caused by accidental falls are significant problems among
the elderly. Detecting falls in real-time is challenging, as many falls occur in a short period …

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 …

Fall is a major threat to the health and life of the elders. A Fall Detection System (FDS) assist
the elders by identifying the fall and save their life. Machine Learning‐(ML) based FDS has …

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 …

Fall detection and prevention are crucial in elderly healthcare and humanoid robotic
research as they help mitigate the damaging after-effects of falls. In this work, we have …