Results 101 to 110 of about 2,117,911 (204)
Background: Markerless motion capture systems are increasingly used in clinical and educational settings to assess functional movement. However, differences in system design and data processing may influence measurement outputs, raising questions about ...
Christopher Voltmer +2 more
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This study compared lower-limb joint angles obtained from single-view markerless three-dimensional (3-D) motion capture (MoCap) systems with those obtained from a marker-based MoCap system across different camera locations. Three markerless MoCap systems,
Taeu Kim, Myung-Chul Jung, Seung-Min Mo
doaj +1 more source
The Poses for Equine Research Dataset (PFERD)
Studies of quadruped animal motion help us to identify diseases, understand behavior and unravel the mechanics behind gaits in animals. The horse is likely the best-studied animal in this aspect, but data capture is challenging and time-consuming ...
Ci Li +9 more
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3D Markerless Motion Capture: A Low Cost Approach
A markerless motion capture technique is described for reconstructing three-dimensional biological motion. In the first stage of the process, an action is recorded with 2 CCD webcams. Then, the video is divided in frames. For each frame, the 2D coordinates of key locations (body joints) are extracted by the combination of manual identification (mouse ...
openaire +2 more sources
Musculoskeletal disorders such as rheumatoid arthritis and osteoarthritis affect millions worldwide and are projected to rise sharply by 2050, highlighting the importance of scalable telerehabilitation.
Arturo González-Mendoza +8 more
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Modeling Human Motion-Capture Data for Creativity
Human motion-capture data can be represented, modeled, and generated through computational techniques. This thesis explores representations and strategies for querying, interpolating, and sequence modeling of motion-capture data.
Napier, Emily
core
VideoRun2D: Cost-Effective Markerless Motion Capture for Sprint Biomechanics
Preprint of the paper presented to the Workshop on IAPR International Conference on Pattern Recognition (ICPR ...
Gonzalo Garrido-Lopez +6 more
openaire +4 more sources
Differentiable Biomechanics Unlocks Opportunities for Markerless Motion Capture
Recent developments have created differentiable physics simulators designed for machine learning pipelines that can be accelerated on a GPU. While these can simulate biomechanical models, these opportunities have not been exploited for biomechanics research or markerless motion capture.
openaire +4 more sources
Validation of a Markerless Motion Capture System for Human Movement Analysis
Three-dimensional human movement analysis is a widely used tool in clinical and research biomechanics to provide comprehensive 3D representations and quantification of individuals’ movement patterns, particularly gait. Marker-based optical motion capture
Kanko, Robert
core

