This article proposes a two-branch learning model, namely, the joint global–local network,
for human pose estimation (HPE) using millimeter wave radar. The aim of this work is to …

This paper focuses on the incorporation of kinematic constraints with the learning of 3D
skeleton reconstruction without suffering from corrupted pose estimations. Specifically, we …

This article presents VirTeach, the exploitation of using the virtual point cloud (VPC) as an
assisted teacher in the learning process for human pose estimation incorporated with the …

Recently, radar-based human pose estimation has attracted increasing attention, which aims
to reconstruct the human skeleton from the radar signals with the advanced deep neural …

Radar-based human activity recognition (HAR) finds various applications like assisted living
and driver behavior monitoring. As radar data are heavily environment-dependent, it is …

A 56-yr-old woman with chronic hepatitis B and decompensated hepatic cirrhosis was
treated with liver transplantation. At the beginning of the neohepatic phase, her arterial blood …

Objective. Sleep monitoring by polysomnography (PSG) severely degrades sleep quality. In
order to reduce the load of sleep monitoring, an approach to automatic sleep stage …

To reconstruct the target-induced attenuation image, the existing radio tomographic imaging
techniques often search the solution in the attenuation signal space and regularize the …

Background The present study was designed to explore the difference between two rat
models of sepsis and to establish a more stable rat model. Materials and methods Sprague–…

Mean shift is robust for image segmentation through local mode seeking. However, like
most segmentation schemes it suffers from over-segmentation due to the lack of semantic …