Radar systems are increasingly being employed in healthcare applications for human
activity recognition due to their advantages in terms of privacy, contactless sensing, and …

Radar is an extremely valuable sensing technology for detecting moving targets and
measuring their range, velocity, and angular positions. When people are monitored at home …

Building on previous radar‐based human activity recognition (HAR), we expand the micro‐
Doppler signature to 6 domains and exploit each domain with a set of handcrafted features …

Human activities classification in assisted living is one of the emerging applications of radar.
The conventional analysis considers micro-Doppler signatures as the chosen input for …

Millimetre‐wave radar has been widely used in health monitoring and human activity
recognition owing to its improved range resolution and operation in a variety of …

Radar‐based human activity recognition is considered as a competitive solution for the
elderly care health monitoring problem, compared to alternative techniques such as …

Human Activity Classification with radar has made significant progress in the past few years.
In this article, we propose a cyclostationarity-based approach in this field of application …

In this article, we consider a high-accuracy and low-complexity method for recognizing
human activities behind wall. As the amount of information conveyed by data representation …

The correlation between an ageing population glob-ally and the increased risk of falling is a
real challenge for health care infrastructures. This calls for the development of new ways to …

Gait recognition is to recognise different individuals based on their faint differences of gait
characteristics, which is different from and more challengeable than the recognition of …