Long-term monitoring of human vital signs like respiration and heartbeat is crucial for the
early detection of diverse diseases and overall health monitoring. Contact-free vital signs …

Radio Frequency (RF)-based gait recognition has emerged as a promising technology to
authenticate individuals in a pervasive and unobtrusive way. However, a fundamental …

Gesture recognition is the basis of human–computer interaction (HCI), and radio frequency
identification (RFID) has attracted wide attention for its advantages of lightweight, low cost …

This paper proposes a novel contrastive cross-modal knowledge transfer framework,
SemiCMT, for multi-modal IoT sensing applications. It effectively transfers the feature …

The growing integration of Internet of Things (IoT) devices in healthcare has revolutionized
patient care and operational efficiency. However, this advancement comes with vast …

The difficulty in obtaining targets' identity poses a significant obstacle to the pursuit of
personalized and customized millimeter-wave (mmWave) sensing. Existing solutions that …

Recent research studies have made significant progress in acoustic-based gesture
recognition. However, existing methods lack the capability to expand to customized gestures …

Indoor mmWave-based sensing technologies have garnered substantial interest from both
the industrial and academic. Yet, the intrinsic challenge posed by the limited Field-of-View …

Purpose This research introduces an innovation strategy aimed at bolstering the reliability of
a renewable energy resource, which is hybrid energy systems, through the application of a …

Acoustic-based human gesture recognition (HGR) offers diverse applications due to the
ubiquity of sensors and touch-free interaction. However, existing machine learning …