With the increasing demand for human-computer interaction and health monitoring, human
behavior recognition with device-free patterns has attracted extensive attention. The …

This paper introduces a novel framework, ie, RFPose-OT, to enable three-dimensional (3D)
human pose estimation from radio frequency (RF) signals. Different from existing methods …

Millimeter-wave (mmWave) radar has been widely used in wireless sensing due to its non-
contact nature, privacy preservation, and immunity to adverse lighting conditions. However …

Advanced human sensing technologies based on radio frequency (RF) signals have gained
widespread attention in recent years. However, due to the sparsity and incompleteness of …

Human gesture recognition using millimeter wave (mmWave) signals provides attractive
applications including smart home and in-car interfaces. While existing works achieve …

While deep learning-based RF perception has received significant attention in recent years,
the requirement for massive labeled RF data has hindered its further advancement. Despite …

Existing RF-based human pose estimation methods usually require intensive computations
and cannot meet the real-time processing and portability requirements for mobile devices …

Liveness detection has been widely applied in face authentication systems to combat
malicious attacks. However, existing methods purely depending on visual frames become …

Toxic gases inhalation is the most common cause of death in fire scenes, which can make
people unconscious and unable to save themselves. Hence, discovering the unconscious …

Radio-frequency (RF) based human sensing technologies, due to their great practical value
in various applications and privacy-preserving nature, have gained tremendous attention in …