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 …

The crucial component of a successful building fire rescue is detecting trapped individuals
efficiently and supporting firefighters in planning rescue and evacuation routes …

This study proposes a new method for the detection of facial expressions of pain using a 3D
profiler that combines a multiple-input-multiple-output (MIMO) radar system with a machine …

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 …

Indoor vital signs monitoring is beneficial for people's healthy life. However, the monitoring
distance limits most existing mm-wave radar-based vital signs monitoring methods …

This master's thesis addresses the need to enhance activity recognition for monitoring and
guidance in health and wellness applications. Despite the growing expectations, the …

Human activity recognition (HAR) systems play an important role in understanding and
interpreting human movements across various domains, with applications ranging from …

In order to explore the radio wave propagation law of the smart ship scene, it is essential to
deeply research the wireless channel characteristics in the cabin scene. In this paper, a …