Everyday life of the elderly and impaired population living in smart homes is challenging
because of possible accidents that may occur due to daily activities. In such activities …

Impairment and a substantial decline in the mobility, independence, and quality of life of an
elderly person. In this regard, the current work suggests a novel IoT-based system that …

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 …

It is imperative to find the most accurate way to detect falls in elders to help mitigate the
disastrous effects of such unfortunate injuries. In order to mitigate fall related accidents, we …

Falls among the elderly are a major health concern, frequently resulting in serious injuries
and a reduced quality of life. In this paper, we propose" BlockTheFall," a wearable device …

Falls in older adults are a major cause of morbidity and mortality and are a key class of
preventable injuries. This paper presents a patient-specific (PS) fall prediction and detection …

Falls represent a major public health risk worldwide for the elderly people. A fall not assisted
in time can cause functional impairment in an elderly and a significant decrease in his …

Falls are the second leading cause of death from unintentional injuries in older adults.
Although many systems have been used to detect falls, they are limited by the computational …

Early fall detection imposes a challenge for preventing life-threatening conditions to the
health in geriatrics. As per the World Health Organization, around that half of total elderly …

Recently, the techniques of Internet of Things (IoT) and mobile communications have been
developed to gather human and environment information data for a variety of intelligent …