The adoption of computer vision pose estimation approaches, used to identify keypoint
locations which are intended to reflect the necessary anatomical landmarks relied upon by …

Two-dimensional deep-learning pose estimation algorithms can suffer from biases in joint
pose localizations, which are reflected in triangulated coordinates, and then in 3D joint …

Word-level sign language recognition (WSLR) is the backbone for continuous sign language
recognition (CSLR) that infers glosses from sign videos. Finding the relevant gloss from the …

Security-related image analysis of critical infrastructures involves using advanced
technologies to analyze visual data to identify potential threats, vulnerabilities, or abnormal …

This study explores the comprehensive understanding of taekwondo, the application of
fourth industrial revolution technologies in various kinds of sports, the development of …

Deep Learning (DL) models have enabled very accurate pose estimation. However, most of
the existing approaches require images of relatively high resolution, since locating body …

The tremendous progress of deep convolution neural networks has shown promising results
on the classification of various sports activities. However, the accurate localization of a …

The widespread use of smartphones and other low-cost equipment as recording devices,
the massive growth in bandwidth, and the ever-growing demand for new applications with …

Accurate and efficient estimation of animal poses is essential in various fields, including
animal behavior research, pharmaceutical studies, and bionic robotics. This capability …

Intervention skills of experts in various fields are often developed through their own
experiences. From this viewpoint, the purpose of this paper is to develop an automatic …