This paper reviews recent works in the literature on the use of systems based on radar and
RGB-Depth (RGB-D) sensors for fall detection, and discusses outstanding research …

The risk of falls in older adults restrict their social life and independent living. The assisted
living devices help older adults to live independently in their home, giving a psychological …

Radar is considered an important technology for health monitoring and fall detection in
elderly assisted living due to a number of attributes not shared by other sensing modalities …

In this paper, we propose an approach that uses deep learning to detect a human fall. The
proposed approach automatically captures the intricate properties of the radar returns. In …

Contemporary surveillance systems mainly use video cameras as their primary sensor.
However, video cameras possess fundamental deficiencies, such as the inability to handle …

Automatic detection of a falling person based on noncontact sensing is a challenging
problem with applications in smart homes for elderly care. In this article, we propose a radar …

The appropriate collection and consumption of electronic health information about an
individual patient or population is the bedrock of modern healthcare, where electronic …

Radar has a great potential to be one of the leading technologies to perform in-home
monitoring of elderly. Radar signal returns corresponding to human gross-motor activities …

Falls are a major public health concern and main causes of accidental death in the senior
US population. Timely and accurate detection permit immediate assistance after a fall and …

Quality of sleep is an important indicator of health and well being. Recent developments in
the field of in-home sleep monitoring have the potential to enhance a person's sleeping …