VIBE: Video Inference for Human Body Pose and Shape Estimation
, 2020 Human motion is fundamental to understanding behavior. Despite progress on single-image 3D pose and shape estimation, existing video-based state-of-the-art methods fail to produce accurate and natural motion sequences due to a lack of ground-truth 3D ...
Athanasiou, Nikos +2 more
core +1 more source
Validation of two-dimensional video-based inference of finger kinematics with pose estimation.
PLoS ONE, 2022 Accurate capture finger of movements for biomechanical assessments has typically been achieved within laboratory environments through the use of physical markers attached to a participant's hands.
Letizia Gionfrida +3 more
doaj +1 more source
Intelligent Performance Evaluation in Rowing Sport Using a Graph-Matching Network
Journal of Imaging, 2023 Rowing competitions require consistent rowing strokes among crew members to achieve optimal performance. However, existing motion analysis techniques often rely on wearable sensors, leading to challenges in sporter inconvenience.
Chien-Chang Chen +5 more
doaj +1 more source
Skeleton-based Action Recognition of People Handling Objects
, 2019 In visual surveillance systems, it is necessary to recognize the behavior of people handling objects such as a phone, a cup, or a plastic bag. In this paper, to address this problem, we propose a new framework for recognizing object-related human actions
Choi, Jin Young +3 more
core +1 more source
A multi-modal detection method for holding ladders in underground climbing operations
Gong-kuang zidonghuaCurrently, most research on recognizing unsafe behaviors of underground personnel focuses on improving precision through computer vision. However, underground areas are prone to occlusion, unstable lighting, and reflection, making it difficult to ...
SUN Qing, YANG Chaoyu
doaj +1 more source
OpenPose based Smoking Gesture Recognition System using Artificial Neural Network
Tehnički Glasnik, 2023 Smoking is an extremely important health problem in modern society. This study focuses on a method for preventing smoking in non-smoking areas, such as public places, as well as the development of an artificial neural network based smoking motion ...
Tae-Yeong Jeong, Il-Kyu Ha
doaj +1 more source
Nonlinear analysis of classic ballet movement and Kansei information using rough set theory
Nihon Kikai Gakkai ronbunshuClassical ballet and other forms of dance have both aspects of sports competition and artistic performance. Dancers require not only the technical skill to control body movements but also the expressive ability to effectively and impressively convey ...
Teruaki ITO +3 more
doaj +1 more source
Synthesising 2D Video from 3D Motion Data for Machine Learning Applications
Sensors, 2022 To increase the utility of legacy, gold-standard, three-dimensional (3D) motion capture datasets for computer vision-based machine learning applications, this study proposed and validated a method to synthesise two-dimensional (2D) video image frames ...
Marion Mundt +7 more
doaj +1 more source
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
, 2019 To facilitate the analysis of human actions, interactions and emotions, we compute a 3D model of human body pose, hand pose, and facial expression from a single monocular image.
Black, Michael J. +6 more
core +1 more source
Stance and Gait Analysis of Apollo Astronauts on the Moon
Muscle &Nerve, EarlyView.ABSTRACT Introduction/Aim As humans return to the Moon, safe efficient ambulation and fall prevention on the lunar surface are key concerns. The analysis of gait from archived Apollo mission video footage is now possible with pose estimation video analysis software.
Faye Y. Chiou‐Tan +4 more
wiley +1 more source