We are living in the era of big data. The Metaverse is an emerging technology in the future,
and it has a combination of big data, AI (artificial intelligence), VR (Virtual Reality), AR …

The integration of exponential technologies in the traditional manufacturing processes
constitutes a noteworthy trend of the past two decades, aiming to reshape the industrial …

The phenomenon of Human Pose Estimation (HPE) is a problem that has been explored
over the years, particularly in computer vision. But what exactly is it? To answer this, the …

This paper investigates the task of 2D whole-body human pose estimation, which aims to
localize dense landmarks on the entire human body including body, feet, face, and hands …

Deep learning has been widely applied to intelligent fault diagnosis with balanced training
set. However, certain available fault data are extremely limited, resulting in an imbalanced …

Accurate 3D tracking of hand and fingers movements poses significant challenges in
computer vision. The potential applications span across multiple domains, including human …

We aim to improve the performance of regressing hand keypoints and segmenting pixel-
level hand masks under new imaging conditions (eg., outdoors) when we only have labeled …

Stroke and related complications such as hemiplegia and disability create huge burdens for
human society in the 21st century, which leads to a great need for rehabilitation and daily life …

Hand pose estimation is a fundamental task in many human–robot interaction-related
applications. However, previous approaches suffer from unsatisfying hand landmark …

With the thriving development of sensor technology and pervasive computing, sensor-based
human activity recognition (HAR) has become more and more widely used in healthcare …