Results 61 to 70 of about 2,117,911 (204)
The aim of this comparative, cross-sectional study was to determine whether markerless motion capture can track deviating gait patterns in children with cerebral palsy (CP) to a similar extent as marker-based motion capturing. Clinical gait analysis (CGA)
Koen Wishaupt +4 more
doaj +1 more source
BackgroundIn recent years, there has been an increasing demand for markerless motion capture systems, which are being widely used in biomechanical and clinical research. Furthermore, by using a markerless motion capture system in a laboratory environment
Daiki Shimotori +3 more
doaj +1 more source
This study proposes an automated method to infer brown bear hair snare interactions by detecting bipedal behavior in camera‐trap images using a pose estimation model and a multilayer perceptron (MLP). A YOLO‐based model, fine‐tuned from humans and dogs to a custom dataset, achieved high performance (≈93% keypoint precision and ≈96% classification ...
Arnau Campanera‐Moliné +8 more
wiley +1 more source
# Background Easy-to-perform and effective assessments for runners are needed for high-volume screening of injury risk in clinical settings. Markerless motion capture systems offer comprehensive, fast, and less expensive tests for capturing kinematic and
Katherine Tansky +5 more
doaj +1 more source
Introduction3D Markerless motion capture technologies have advanced significantly over the last few decades to overcome limitations of marker-based systems, which require significant cost, time, and specialization.
Tylan Templin +24 more
doaj +1 more source
Abstract Geometric morphometrics (GM) is widely used to study phenotypic variation in ecological and evolutionary research, but the throughput of manual landmark digitization limits how large morphometric datasets can practically become, especially in field studies that would benefit from rapid on‐site feedback.
Cristobal Bragagnolo +3 more
wiley +1 more source
Step2Motion: Locomotion Reconstruction from Pressure Sensing Insoles
Abstract Human motion is fundamentally driven by continuous physical interaction with the environment. Whether walking, running, or simply standing, the forces exchanged between our feet and the ground provide crucial insights for understanding and reconstructing human movement. Recent advances in wearable insole devices offer a compelling solution for
J. L. Ponton +5 more
wiley +1 more source
StayStill: a large‐scale 3D idle animation dataset
Abstract Idle animations are essential for virtual characters, as they convey realistic behaviour during inactive states. While automatic animation generation has been widely studied, limited attention has been given to idle motion due to the absence of dedicated training datasets.
Eneko Atxa Landa +3 more
wiley +1 more source
Machine learning approaches in automated infant General Movements Assessment: A scoping review
Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur +4 more
wiley +1 more source
Evaluation of DeepLabCut as a Human Markerless Motion Capture Tool
There are a variety of motion capture methods available; however, many of them are not well suited for collections outside a laboratory setting. AI markerless motion capture may fit this need, but its implementation and accuracy need to be better ...
Daley, W. Seth E.
core +2 more sources

