Machine learning research is heavily focused on human activity detection since it has
various applications in a variety of fields, including security, entertainment, ambient …

Many researchers devote themselves to studying various aspects of Human Activity
Recognition (HAR), such as data analysis, signal processing, feature extraction, and …

In this article, we propose a radar-based human action recognition system, capable of
recognizing actions in real time. Range-Doppler maps extracted from a low-cost frequency …

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

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

In this paper, we consider semi-supervised training of an attention-augmented convolutional
autoencoder (AACAE) for human activity recognition using radar micro-Doppler signatures …

Recognition of human movements with radar for ambient activity monitoring is a developed
area of research that yet presents outstanding challenges to address. In real environments …

The technology for human activity recognition has diverse applications within the Internet of
Things spectrum, including medical sensing, security measures, smart home systems, and …

Radar micro‐Doppler signatures have been proposed for human monitoring and activity
classification for surveillance and outdoor security, as well as for ambient assisted living in …

The development of radar-based classifiers driven by empirical data can be highly
demanding and expensive due to the unavailability of radar data. In this article, we introduce …