Background Artificial intelligence (AI) holds the promise of supporting nurses' clinical
decision-making in complex care situations or conducting tasks that are remote from direct …

Due to their large bandwidth, relatively low cost, and robust performance, uwb radio chips
can be used for a wide variety of applications, including localization, communication, and …

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 …

In recent years, research on convolutional neural networks (CNN) and recurrent neural
networks (RNN) in deep learning has been actively conducted. In order to provide more …

Falling is the main cause of disability and fatality of elderly. In this work we used a 24 GHz
continuous-wave Doppler radar to develop a low price and a highly accurate fall detection …

Object sensors are widely used for motion capture, particularly in sport motion analysis for
classification of strokes. In this paper, a comparative study was performed to examine the …

Radar-based human activity recognition is attracting a wide range of interest from both
industry and academia because of its through-wall ability, privacy-preserving capability, and …

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 …

Fall detection, particularly critical for high-risk demographics like the elderly, is a key public
health concern, where timely detection can greatly minimize harm. With the advancements …

Falls can be one of the most damaging events that elders may experience in their lives,
especially when they live alone. The impact of a fall can vary from minor bruises, to life …