With advances in medicine and healthcare systems, the average life expectancy of human
beings has increased to more than 80 yrs. As a result, the demographic old‐age …

Fall events among older adults are a serious concern, having an impact on their health and
well-being. The development of the Internet of Things (IoT) over the last years has led to the …

In recent years, the fall detection system has become an important topic in the homecare
system. Compared with the traditional fall detection algorithm, the method used by neural …

Day by day the death rate of the construction workers at the construction site is increasing.
But still there are no such remedies to reduce this fatality rate. To provide continuous …

This paper proposes an algorithm for fall detection using 2D RGB camera. Occlusion, fall,
and common daily activities are separated from each other by machine learning algorithms …

The detection of a fallen person (FPD) is a crucial task in guaranteeing individual safety.
Although deep-learning models have shown potential in addressing this challenge, they …

This paper presents a design and development of an IoT-based system to real-time track
elders' physical activities using accelerometer sensor data. The objective behind conducting …

One of the most important measures that developed countries need along with economic
success is the provision of contemporary health services for the elderly. Inadequate care for …

People's life expectancy is increasing, resulting in a growing elderly population. That
population is subject to dependency issues, falls being a problematic one due to the …

Internet of Things (IoT) enabled geriatric healthcare systems have gained importance in the
recent years due to an increase in the number of elderly people living alone. The application …