Recent advancements in the Internet of Medical Things (IoMT) have revolutionized the
healthcare sector, making it an active research area in the academic and industrial sectors …

Utilizing Impulse Radio Ultra-WideBand (IR-UWB) radar for vital sign monitoring has
attracted growing interest due to the noncontact measurement without privacy concerns …

Human activity recognition (HAR) is becoming increasingly important, especially with the
growing number of elderly people living at home. However, most sensors, such as cameras …

Deep learning and radar make it feasible to automatically recognize human activities in
various lighting conditions, even occlusion case, which significantly promotes the …

Radar-based human activity recognition is attracting a wide range of interest from both
industry and academia because of its through-wall ability, privacy-preserving capability, and …

Human activity monitoring is essential for a variety of applications in many fields, particularly
healthcare. The goal of this research work is to develop a system that can effectively detect …

Human monitoring applications in indoor environments depend on accurate human
identification and activity recognition (HIAR). Single modality sensor systems have shown to …

This article proposes the machine learning (ML)-based joint vital signs (VSs) and occupancy
detection (OD) with an impulse radio ultra-wideband (IR-UWB) sensor. Works that have …

This paper presents recent progress on portable Doppler, frequency-shift keying (FSK) and
frequency-modulated continuous-wave (FMCW) radar systems for life activity sensing and …

Short-range radar has become one of the latest sensor technologies for the Internet of
Things (IoT), and it plays an increasingly vital role in IoT applications. As the essential task …