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

Deformation of Member under Multiple Loadings01:11

Deformation of Member under Multiple Loadings

625
When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
In the case of a member with a variable cross-section, the strain is not constant but depends on the position. The deformation of an...
625
Space Trusses: Problem Solving01:29

Space Trusses: Problem Solving

1.1K
A space truss is a three-dimensional counterpart of a planar truss. These structures consist of members connected at their ends, often utilizing ball-and-socket joints to create a stable and versatile framework. Due to its adaptability and capacity to withstand complex loads, the space truss is widely used in various construction projects.
Consider a tripod consisting of a tetrahedral space truss with a ball-and-socket joint at C. Suppose the height and lengths of the horizontal and vertical...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Mobgap: A State-of-the-Art Python Framework for Reproducible Estimation and Algorithm Validation of Digital Mobility Outcomes from a Single Wearable Device.

Sensors (Basel, Switzerland)·2026
Same author

Anti-Compensatory Saccades Changes After Visuo-Vestibular Physical Therapy in People With Acute Unilateral Vestibulopathy: A Prospective Observational Study.

Physiotherapy research international : the journal for researchers and clinicians in physical therapy·2026
Same author

Characterization of kinematic synergies during upright reaching tasks.

Journal of biomechanics·2026
Same author

Push-Up Techniques Affect Elbows and Shoulders: How Should They Be Used?

Handchirurgie, Mikrochirurgie, plastische Chirurgie : Organ der Deutschsprachigen Arbeitsgemeinschaft fur Handchirurgie : Organ der Deutschsprachigen Arbeitsgemeinschaft fur Mikrochirurgie der Peripheren Nerven und Gefasse : Organ der V...·2026
Same author

The construct validity of real-world digital mobility outcomes in people with COPD.

ERJ open research·2026
Same author

Continuous assessment of daily-living gait using self-supervised learning of wrist-worn accelerometer data.

NPJ digital medicine·2026

Related Experiment Video

Updated: Apr 6, 2026

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

10.4K

Bone Pose Estimation in the Presence of Soft Tissue Artifact Using Triangular Cosserat Point Elements.

Dana Solav1, M B Rubin2, Andrea Cereatti3,4

  • 1Department of Mechanical Engineering, Technion Israel Institute of Technology, 32000, Haifa, Israel. danas@technion.ac.il.

Annals of Biomedical Engineering
|July 22, 2015
PubMed
Summary

This study introduces a new method to improve bone pose estimation by accounting for soft tissue artifact (STA). It identifies specific marker subsets that enhance accuracy, offering a more reliable way to track bone movement.

Keywords:
Bone pose estimationCosserat point theoryMarker clusterMotion analysisSoft tissue artifactSoft tissue deformationStereophotogrammetryTriangular cosserat point element

More Related Videos

Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography
06:09

Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography

Published on: March 12, 2021

4.0K
Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

8.6K

Related Experiment Videos

Last Updated: Apr 6, 2026

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

10.4K
Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography
06:09

Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography

Published on: March 12, 2021

4.0K
Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

8.6K

Area of Science:

  • Biomechanics
  • Medical Imaging
  • Kinematics

Background:

  • Accurate bone pose estimation from skin markers is crucial for biomechanical analysis.
  • Soft tissue artifact (STA) significantly limits the precision of marker-based motion capture.
  • Existing methods struggle to fully compensate for STA during dynamic movements.

Purpose of the Study:

  • To develop a continuum mechanics-based method to quantify and mitigate STA effects on bone pose estimation.
  • To identify optimal subsets of skin markers for improved accuracy in estimating femur pose.
  • To establish parameters that correlate with pose errors for real-time artifact correction.

Main Methods:

  • Utilized triangular cosserat point elements (TCPEs) to model marker clusters and STA.
  • Quantified STA effects using strain, relative rotation, and translation parameters within TCPEs.
  • Evaluated the method on ex vivo kinematic data of femur pose estimation using 12 thigh markers.

Main Results:

  • Identified instantaneous subsets of TCPEs that provide more accurate femur pose estimation than traditional Procrustes Superimposition.
  • Demonstrated a correlation between STA quantification parameters and femur pose errors.
  • Showcased the potential for these parameters to guide the selection of optimal marker subsets for enhanced accuracy.

Conclusions:

  • The proposed continuum mechanics approach effectively models STA in marker-based kinematics.
  • Specific marker subsets, identified via TCPEs, can significantly improve bone pose accuracy.
  • The developed parameters offer a promising avenue for real-time correction of soft tissue artifacts in motion analysis.