In-depth review of augmented reality: Tracking technologies, development tools, AR displays, collaborative AR, and security concerns
Augmented reality (AR) has gained enormous popularity and acceptance in the past few
years. AR is indeed a combination of different immersive experiences and solutions that …
years. AR is indeed a combination of different immersive experiences and solutions that …
A comprehensive analysis of the machine learning pose estimation models used in human movement and posture analyses: a narrative review
The accurate measurement and analysis of human movement are essential in fields ranging
from rehabilitation and neuroscience to sports science and ergonomics. Traditional …
from rehabilitation and neuroscience to sports science and ergonomics. Traditional …
Comparison of markerless and marker-based motion capture systems using 95% functional limits of agreement in a linear mixed-effects modelling framework
Biomechanics analysis of human movement has been proven useful for maintenance of
health, injury prevention, and rehabilitation in both sports and clinical populations. A marker …
health, injury prevention, and rehabilitation in both sports and clinical populations. A marker …
A comparison of three-dimensional kinematics between markerless and marker-based motion capture in overground gait
Vision-based methods using RGB inputs for human pose estimation have grown in recent
years but have undergone limited testing in clinical and biomechanics research areas like …
years but have undergone limited testing in clinical and biomechanics research areas like …
Validity of artificial intelligence-based markerless motion capture system for clinical gait analysis: Spatiotemporal results in healthy adults and adults with Parkinson's …
Markerless motion capture methods are continuously in development to target limitations
encountered in marker-, sensor-, or depth-based systems. Previous evaluation of the …
encountered in marker-, sensor-, or depth-based systems. Previous evaluation of the …
Anatomical-Marker-Driven 3D Markerless Human Motion Capture
Marker-based motion capture (mocap) is a conventional method used in biomechanics
research to precisely analyze human movement. However, the time-consuming marker …
research to precisely analyze human movement. However, the time-consuming marker …
A systematic review of the biomechanical studies on shoulder kinematics in overhead sporting motions: Types of analysis and approaches
The shoulder is a unique and complex joint in the human body with three bones and four
joints, which makes it the most unstable joint in the body due to the amount of motion. To …
joints, which makes it the most unstable joint in the body due to the amount of motion. To …
A model-based markerless protocol for clinical gait analysis based on a single RGB-depth camera: concurrent validation on patients with cerebral palsy
Clinical gait analysis is a diagnostic tool often used for identifying and quantifying gait
alterations in cerebral palsy (CP) patients. To date, 3D clinical gait analysis protocols based …
alterations in cerebral palsy (CP) patients. To date, 3D clinical gait analysis protocols based …
Markerless gait analysis through a single camera and computer vision
H Wang, B Su, L Lu, S Jung, L Qing, Z ** videos in Parkinson's disease
The utilization of Artificial Intelligence (AI) for assessing motor performance in Parkinson's
Disease (PD) offers substantial potential, particularly if the results can be integrated into …
Disease (PD) offers substantial potential, particularly if the results can be integrated into …