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 …

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

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 …

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 …

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 …

Radar-based classification of human activities and gait have attracted significant attention
with a large number of approaches proposed in terms of features and classification …

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 …

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 …

Radar-based human motion and activity recognition is currently a topic of great research
interest, as the aging population increases and older individuals prefer an independent …

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 …