Results 61 to 70 of about 2,117,911 (204)

The applicability of markerless motion capture for clinical gait analysis in children with cerebral palsy

open access: yesScientific Reports
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

Validation of Gait Kinematics With Ramp and Stair Ascent and Descent Revealed by Markerless Motion Capture in Simulated Living Space: Test-Retest Reliability Study

open access: yesJMIR Rehabilitation and Assistive Technologies
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

Inferring Brown Bear Hair Snare Interactions by Automatically Detecting Bipedalism on Camera Trap Images Using Pose Estimation and a Multilayer Perceptron

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
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

Associations of Markerless Motion-Based Physical Function Test Performance with Running Gait Kinetics: Application for Therapeutic Monitoring

open access: yesInternational Journal of Sports Physical Therapy
# 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

Evaluation of drop vertical jump kinematics and kinetics using 3D markerless motion capture in a large cohort

open access: yesFrontiers in Bioengineering and Biotechnology
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

Theia: An end‐to‐end edge‐AI mobile framework for high‐throughput field phenotyping and on‐device geometric morphometrics

open access: yesMethods in Ecology and Evolution, EarlyView.
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

open access: yesComputer Graphics Forum, EarlyView.
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

open access: yesComputer Graphics Forum, EarlyView.
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

open access: yesDevelopmental Medicine &Child Neurology, EarlyView.
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

open access: yes, 2023
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

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