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

Since falls are a major public health problem among older people, the number of systems
aimed at detecting them has increased dramatically over recent years. This work presents …

Human Activity Recognition (HAR) systems are devised for continuously observing human
behavior-primarily in the fields of environmental compatibility, sports injury detection, senior …

Research on fall and movement detection with wearable devices has witnessed promising
growth. However, there are few publicly available datasets, all recorded with smartphones …

Falls are the leading cause of injury and death in elderly individuals. Unfortunately, fall
detectors are typically based on wearable devices, and the elderly often forget to wear them …

Background Falls in elderly people are a major health burden, especially in the long-term
care environment. Yet little objective evidence is available for how and why falls occur in this …

Falls are a serious public health problem and possibly life threatening for people in fall risk
groups. We develop an automated fall detection system with wearable motion sensor units …

Background The traditional evaluation of gait in the laboratory during structured testing has
provided important insights, but is limited by its “snapshot” character and observation in an …

Falling, as one of the main harm threats to the elderly, has drawn researchers' attentions and
has always been one of the most valuable research topics in the daily health-care for the …

Fog computing is a recently proposed computing paradigm that extends Cloud computing
and services to the edge of the network. The new features offered by fog computing (eg …