Falls are abnormal activity events that occur infrequently; however, they are serious health
problems among elderly individuals. With the advancements of technologies, falls have …

Fall prediction is a multifaceted problem that involves complex interactions between
physiological, behavioral, and environmental factors. Existing fall detection and prediction …

In recent years, an ever increasing range of technology-based applications have been
developed with the goal of assisting in the delivery of more effective and efficient fall …

Background The novel technology of the Internet of Things (IoT) connects objects to the
Internet and its most advanced applications refine obtained data for the user. We propose …

The increasing ageing population around the world and the increased risk of falling among
this demographic, challenges society and technology to find better ways to mitigate the …

A wearable low‐profile inset‐fed quarter‐wave folded microstrip patch antenna for
noninvasive activity monitoring of elderly is presented. The proposed antenna is embedded …

Introduction Falls in hospitals and residential care facilities commonly occur near the bed.
The aim of this study was to investigate the accuracy of a continuously wearable, batteryless …

Falls in hospitals are common, therefore strategies to minimize the impact of these events in
older patients and needs to be examined. In this pilot study, we investigate a movement …

Aging populations are increasing worldwide and strategies to minimize the impact of falls on
older people need to be examined. Falls in hospitals are common and current hospital …

A bed exiting monitoring system with fall detection function for the elderly living alone is
proposed in this paper. By separating the process of exiting or getting on the bed into …