Radar-based personal identification and fall detection have received considerable attention
in smart healthcare scenarios. Deep learning algorithms have been introduced to improve …

Radar technology for at home health-care has many advantages such as safety, reliability,
privacy-preserving, and contact-less sensing nature. Detecting falls using radar has recently …

Without timely treatment, falls often cause serious injuries in elderly individuals. Due to the
aging of the global population, an efficient and privacy preserving fall detection system is …

The radar-based fall detection system has grown in popularity because of its stability and
privacy protection. Deep neural networks have been used in previous radar-based fall …

A new radar-based fall detection method is proposed using the recent advances in deep
neural networks. An ultrawideband radar is used to monitor human daily activities and …

Falls are fatal for the elderly, and timely detection after falls is crucial. As a contactless
device, the radar sensor can monitor users' falls with the advantage of not revealing their …

It is necessary to detect the fall of the elderly in time. As a noncontact monitoring device,
radar can monitor users without their knowledge and protect their privacy. The unsupervised …

Detecting falls using radar has many applications in smart health care. In this paper, a novel
method for fall detection in human daily activities using an ultra wideband radar technology …

Radar is an attractive sensing technology for remote and non-intrusive human health
monitoring and elderly fall detection due to its ability to work in low lighting conditions, its …

Falls are the leading cause of fatal injuries in the elderly such as fractures, and secondary
damage from falls can lead to death. As such, fall detection is a crucial topic. However, due …