Smart living, an increasingly prominent concept, entails incorporating sophisticated
technologies in homes and urban environments to elevate the quality of life for citizens. A …

This paper presents a comprehensive dataset intended to evaluate passive Human Activity
Recognition (HAR) and localization techniques with measurements obtained from …

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 …

Through-the-wall radar (TWR) achieves indoor human activity recognition (HAR) by
extracting Doppler and micro-Doppler features. However, the conventional deep learning …

RF sensing offers an unobtrusive, user-friendly, and privacy-preserving method for detecting
accidental falls and recognizing human activities. Contemporary RF-based HAR systems …

Modern monostatic radar-based human activity recognition (HAR) systems perform very well
as long as the direction of human activities is either toward or away from the radar. The …

Modern human activity recognition (HAR) systems are designed using large amounts of
experimental data. So far, real-data-driven or experimental-based HAR systems using Wi-Fi …

Motion tracking systems based on optical sensors typically suffer from poor lighting,
occlusion, limited coverage, and may raise privacy concerns. Recently, radio-frequency (RF) …

When wireless communication signals impinge on a moving human they are affected by
micro-Doppler. A passive receiver of the resulting signals can calculate the spectrogram that …

This work introduces an attention mechanism that can be integrated into any standard
convolution neural network to improve model sensitivity and prediction accuracy with …