Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

1.1K
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
1.1K
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

683
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
683

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Energy Expenditure During Walking With a Novel Treadmill Controller That Induces Gait Asymmetry.

bioRxiv : the preprint server for biology·2026
Same author

Changes in interlimb coordination induced by within-stride changes in treadmill speed.

Journal of neurophysiology·2026
Same author

Task demands shift motor learning from adaptation to feedback control in a naturalistic bimanual task.

bioRxiv : the preprint server for biology·2026
Same author

Quantifying Repetitive Hand Flapping Kinematics in Autistic and Non-Autistic Toddlers Using Video-Based Pose Estimation.

Developmental science·2026
Same author

Automatic learning mechanisms for flexible human locomotion.

eLife·2026
Same author

Self-Reported Acceptance of a Wearable Activity Monitor in Persons With Stroke: Usability Study.

JMIR cardio·2025
Same journal

Comparative Evaluation of Pretrained Large Language Models for Suicide Risk Prediction from Clinical Notes in U.S. Veterans.

medRxiv : the preprint server for health sciences·2026
Same journal

Nocturnal Respiratory Rate and Variability Predict Long-term Mortality in Stable Outpatients with Cardiovascular Disease.

medRxiv : the preprint server for health sciences·2026
Same journal

MOSAIC: Methylation-Oriented Site Analysis and Information Classifier for Robust Epigenomic Classification of Acute Leukemia in Clinical Cohorts with Variable Tumor Purity.

medRxiv : the preprint server for health sciences·2026
Same journal

Risk beliefs, intensive digital information and demand for a new preventative health product in public clinics: Evidence from an experiment in Zimbabwe.

medRxiv : the preprint server for health sciences·2026
Same journal

Development of an automated, imaging-based preoperative screening model for early identification of malnutrition in an abdominal surgery cohort.

medRxiv : the preprint server for health sciences·2026
Same journal

A Pilot Project Leveraging Large Language Models for Automated Screening and Variable Extraction in Observational Studies.

medRxiv : the preprint server for health sciences·2026
See all related articles

Related Experiment Video

Updated: Jan 9, 2026

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

2.1K

A graphical user interface for editing keypoints from human pose estimation algorithms.

Zechen Yang1, Jan Stenum2, Rini Varghese1,3

  • 1Center for Movement Studies, Kennedy Krieger Institute, Baltimore, MD 21205.

Medrxiv : the Preprint Server for Health Sciences
|December 3, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new pose editor tool for human pose estimation, improving markerless kinematic tracking accuracy by allowing manual correction of keypoints. The tool enhances data reliability for movement analysis.

Keywords:
artificial intelligencecomputer visionkinematicsmovementposevideo

More Related Videos

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

8.1K

Related Experiment Videos

Last Updated: Jan 9, 2026

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

2.1K
A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

8.1K

Area of Science:

  • Biomechanics
  • Computer Vision
  • Human Movement Analysis

Background:

  • Markerless human pose estimation from videos offers accessible kinematic tracking.
  • Current algorithms struggle with tracking errors like hallucinations and occlusions.
  • Accurate kinematic data is crucial for understanding human movement, especially in clinical settings.

Purpose of the Study:

  • To develop and evaluate a novel pose editor tool for correcting human pose estimation keypoints.
  • To improve the accuracy and reliability of markerless kinematic tracking.
  • To enhance the accessibility of pose estimation analysis through an integrated graphical user interface.

Main Methods:

  • Developed a graphical user interface (GUI) pose editor for manual keypoint correction.
  • Integrated pose estimation algorithms within the GUI for direct analysis.
  • Tested the tool on a dataset of individuals with stroke walking, comparing results with ground-truth motion capture.

Main Results:

  • Significant reduction in mean absolute error between estimated and ground-truth kinematics.
  • Significant improvement in correlations between time-series kinematic data.
  • Manual editing time positively correlated with kinematic accuracy improvements.

Conclusions:

  • The developed pose editor tool effectively enhances the accuracy of human pose estimation for kinematic analysis.
  • Manual correction of keypoints is vital for improving data quality in markerless motion tracking.
  • The tool provides a valuable resource for researchers and clinicians utilizing human pose estimation.