Abstract According to the World Health Organization and other authorities, falls are one of
the main causes of accidental injuries among the elderly population. Therefore, it is …

A fall detection system is vital for the safety of older people, as it contacts emergency
services when it detects a person has fallen. There have been various approaches to detect …

Traditional walkers are commonly used for the elderly in social life, which solves the basic
problem of walking, but it is difficult to ensure safety when a fall occurs, and the human …

Camera-based object tracking systems in a given closed environment lack privacy and
confidentiality. In this study, light detection and ranging (LiDAR) was applied to track objects …

The use of cameras to monitor the elderly daily living activities might cause inconvenience
related to the privacy issues. Thus, another sensor namely LiDAR which generates point …

Fall detection using the deep learning approach has been the focus of recent studies. This
paper presents a preliminary study of high-accuracy fall detection using general machine …

The Human wish for autonomy in vehicles goes back to the 15 th century and has been the
subject of numerous research. In the past decade in particular, the rise of Artificial …

Telemonitoring of human physiological data helps detect emergency occurrences for
subsequent medical diagnosis in daily living environments. One of the fatal emergencies in …

Over the next decade, home care aides are on track to grow in employment by around 5
times more than the average job in the United States. However, a single home care aid is …

Fall is an accident phenomenon that affects all individuals living alone, especially elderly
individuals who have to meet their own needs. This issue has attracted the attention of …