Aiming at realizing on-chip real-time human activity recognition based on the miniaturized
and integrated radar with limited computational resources, hyperdimensional computing …

Human activity recognition is a key task of many Internet of Things (IoT) applications to
understand underlying contexts and react with the environments. Machine learning is widely …

In recent years, radar has been employed as a fall detector because of its effective sensing
capabilities and penetration through walls. In this paper, we introduce a multilinear …

The millimeter-wave (mmWave) radar technology has attracted significant attention because
it is susceptible to environmental lighting, wall shielding, and privacy concern. This article …

In this letter, a simple data augmentation method for micro-Doppler radar-based human
activity recognition (HAR) is proposed. The proposed augmentation method can improve the …

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 …

Deep learning techniques have attracted much attention in the radar automatic target
recognition. In this paper, we investigate an acceleration method of the convolutional neural …

Millimeter-wave radar is widely used in family safety, rehabilitation, and assisted living due
to its ability to operate in all weathers and all day. To address the problem whereby the radar …

A radar human behavior perception system has penetration detection ability, which gives it a
wide application prospect in the fields of security, rescue, medical treatment, and so on …

The automatic detection and recognition of human activities are valuable for physical
security, gaming, and intelligent interface. Compared to an optical recognition system, radar …