Healthcare systems are under increasing strain due to a myriad of factors, from a steadily
ageing global population to the current COVID-19 pandemic. In a world where we have …

Falls are an important factor in significantly deteriorating quality of life of older adults,
consequently leading to both physical and psychological harm. A wearable-based fall …

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 …

Fall detection (FD) systems are crucial for identifying falls and ensuring timely assistance,
thus reducing the risk of serious injuries. With the development of society and increasing …

Human activity recognition (HAR) using inertial motion data has gained a lot of momentum
in recent years both in research and industrial applications. From the abstract perspective …

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 …

This study aims to comprehensively compare the accuracy and practicality of three different
types of algorithms for pre-impact fall detection using both young and old subjects …

Fall accidents in industrial and construction environments require an immediate reaction, to
provide first aid. Shortening the time between the fall and the relevant personnel being …

Ubiquitous in-home health monitoring systems have become popular in recent years due to
the rise of digital health technologies and the growing demand for remote health monitoring …

Fall detection and recognition play a crucial role in enabling timely medical interventions for
people who are at risk of falls, especially among vulnerable populations like older adults …