In human activity recognition (HAR) based on radar, significant research exists on statistical
features extracted from the spectrogram (μD), whereas the research which considers other …

The importance of radar-based human activity recognition has increased significantly over
the last two decades in safety and smart surveillance applications due to its superiority in …

In the context of assisted living, human activity recognition (HAR) is of increased importance
to maintain people at home living independently longer. Compared with directly using …

Machine Learning (ML) methods have become state of the art in radar signal processing,
particularly for classification tasks (eg, of different human activities). Radar classification can …

This paper presents a novel approach to radar-based human activity recognition in
continuous data streams. To date, most work in this research area has aimed at either …

Generally, radar-based human activity classification methods can be divided into two
categories. One is to use deep learning networks to learn features autonomously and …

Identifying human activities using short-range and low-power radars has attracted much
attention among the researchers and consumer electronics industry. This paper considers …

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 …

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

Linked to the increasing availability of datasets for radar-based human activity recognition
(HAR), in this Student Highlights contribution, we report on a classification project that a …