Abstract 3D human pose estimation is a key component of clinical monitoring systems. The
clinical applicability of deep pose estimation models, however, is limited by their poor …

Abstract Multivariate Time Series (MTS) classification is important in various applications
such as signature verification, person identification, and motion recognition. In deep learning …

Human posture estimation plays a significant role in the growth of intelligent nursing robot, a
field that demands high accuracy and respect for privacy. Nevertheless, traditional …

Human-centric content-based video retrieval has emerged as a prominent area of research
due to its diverse applications. However, this task presents several inherent challenges …

Abstract 3D human pose estimation has achieved rapid progress in virtual fashion shows.
Loose clothing and personalized poses in virtual fashion shows often led to unclear body …

The regression of human pose from a central point of the person instance has garnered
attention in bottom-up human pose estimation. While center-point regression approaches …

Despite great success in 3D monocular human pose estimation, the progress of accurate
prediction for unseen poses or complex backgrounds is still limited due to the lack of labeled …

Thanks to the development of 2D keypoint detectors, monocular 3D human pose estimation
(HPE) via 2D-to-3D lifting approaches have achieved remarkable improvements. However …

This study proposes a system to transform the fitness journey by fusing technology and
exercise, guaranteeing that every push-up, squat, and other exercise the user performs is …