The need for technologies for Human Activity Recognition (HAR) in home environments is
becoming more and more urgent because of the aging population worldwide. Radar-based …

Radar-based human activity recognition (HAR) provides a non-contact method for many
scenarios, such as human–computer interaction, smart security, and advanced surveillance …

Existing low-cost Doppler radar-based fall detection systems encounter challenges due to
false alarms and the absence of post-fall health tracking, significantly impacting their …

Human falls occur rarely; however, they can lead to severe consequences if not addressed
immediately. With the rise of nuclear families, there has been a significant increase in the …

Micro-Doppler signatures (m-DSs) have been widely employed for the automatic recognition
of various radar targets that exhibit micromotions via time–frequency distributions (TFDs) …

With the rapid development of population aging, fall detection based on the radar manifests
great application value in the field of medicine and health. Focusing on the problem of the …

Although 2D radar signal representations, such as spectrograms and range-Doppler maps
have been widely used for target recognition, 3D time-range-Doppler (TRD) has been less …

The position information and posture information of a device-free human in a confined
indoor environment have multiple uses in health monitoring and other areas. In this study …

This paper proposes a human activity recognition (HAR) method for frequency-modulated
continuous wave (FMCW) radar sensors. The method utilizes a multi-domain feature …

It is necessary to detect the fall of the elderly in time. As a noncontact monitoring device,
radar can monitor users without their knowledge and protect their privacy. The unsupervised …