The accurate measurement and analysis of human movement are essential in fields ranging
from rehabilitation and neuroscience to sports science and ergonomics. Traditional …

Markerless motion capturing has the potential to provide a low-cost and accessible
alternative to traditional marker-based systems for real-world biomechanical assessment …

Low-cost markerless motion capture systems offer the potential for 3D measurement of joint
angles during human movement. This study aimed to validate a smartphone-based …

Human pose estimation refers to accurately estimating the position of the human body from
a single RGB image and detecting the location of the body. It serves as the basis for several …

Edge deep learning, a paradigm change reconciling edge computing and deep learning,
facilitates real-time decision making attuned to environmental factors through the close …

Studying the detailed biomechanics of flying animals requires accurate three‐dimensional
coordinates for key anatomical landmarks. Traditionally, this relies on manually digitizing …

This study tested the performance of OpenPose on footage collected by two cameras at 200
Hz from a real-life competitive setting by comparing it with manually analyzed data in SIMI …

The current gold standard for the study of human movement is the marker-based motion
capture system that offers high precision but constrained by costs and controlled …

Introduction With the rapid advancement of artificial intelligence (AI) technology, the
protection of patient medical image privacy and security has become a critical concern in …

Recently, AI‐driven skeleton reconstruction tools that use multistage computer vision
pipelines were designed to estimate 3D kinematics from 2D video sequences. In the present …