As the ageing population grows continuously, traditional healthcare providers are
experiencing difficulty in keeping up with changing and unpredictable demands as well as …

Fall event detection has been a research hotspot in recent years in the fields of medicine
and health. Currently, vision-based fall detection methods have been considered the most …

Falls are a major health threat for older people. A timely assistance can reduce the extent of
physical injury caused by the falls. Currently, low-cost and convenient video surveillance …

Video fall detection is one of the most significant challenges in computer vision domain, and
it usually involves the recognition of events that do not conform to expected falls. Recently, a …

Every year, over 30% of individuals aged 65 and above experience fall, leading to potential
physical and psychological harm. This is particularly concerning for those who live …

The IoT paradigm revolves around a tight interaction between the IT side (ie, the thing and
the software therein) and the human counterpart. From a security standpoint, both these …

With the aging population in our society, falls have become a major cause of injury to the
elderly in their daily lives. Based on this, fall detection for the elderly has received wide …

In recent years, the popularization of devices to monitor people in combination with Machine
Learning (ML) in the context of Internet of Things (IoT) has grown significantly. Then, the …

Recent studies by the World Health Organization have shown that human falls have become
the leading cause of injury and death worldwide. Therefore, human fall detection is …

With the rapid growth of the elderly population, traditional elderly healthcare services can
hardly meet the dynamic and uncertain demand and higher customer expectations. With the …