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

Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...
Kinematic Equations for Rotation01:30

Kinematic Equations for Rotation

In mechanics, when one observes a rigid body in rotational motion with constant angular acceleration, it is possible to establish equations for its rotational kinematics. This process resembles how linear kinematics are dealt with in simpler motion studies.
For instance, imagine a point A on a rigid body engaged in circular motion. The translational velocity of this particular point can be calculated by taking the time derivatives of the displacement equation, which essentially measures the...
Kinematic Equations - II01:17

Kinematic Equations - II

The second kinematic equation expresses the final position of an object in terms of its initial position, the distance traveled with the initial constant velocity, and the distance traveled due to a change in velocity. Similar to the first kinematic equation, this equation is also only valid when the acceleration is constant throughout the motion of an object.
Suppose a car merges into freeway traffic on a 200 m long ramp. If its initial velocity is 10 m/s and it accelerates at 2 m/s2, then the...
Kinematic Equations - III01:18

Kinematic Equations - III

The first two kinematic equations have time as a variable, but the third kinematic equation is independent of time. This equation expresses final velocity as a function of the acceleration and distance over which it acts. The fourth kinematic equation does not have an acceleration term and provides the final position of the object at time t in terms of the initial and final velocities. This equation is useful when the value of the constant acceleration is unknown.
Using the kinematic equations,...
Kinematic Equations - I01:26

Kinematic Equations - I

When an object moves with constant acceleration, the velocity of the object changes at a constant rate throughout the motion. The kinematic equations of motions are derived for such cases where the acceleration of the object is constant. The first kinematic equation gives an insight into the relationship between velocity, acceleration, and time. We can see, for example:
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it instrumental in...

You might also read

Related Articles

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

Sort by
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

Inferring Fine Finger Motions for Prosthetic Control: An Ultrasound-Based Approach to Real-Time Estimation of Finger Kinematics.

Journal of biomechanical engineering·2025
Same author

3D surface topographic measurements for idiopathic scoliosis are highly correlative to patient self-image questionnaires.

Spine deformity·2023
Same author

Graded stiffness offloading insoles better redistribute heel plantar pressure to protect the diabetic neuropathic foot.

Gait & posture·2023
Same author

A novel graded-stiffness footwear device for heel ulcer prevention and treatment: a finite element-based study.

Biomechanics and modeling in mechanobiology·2022
Same author

Reliability of automated topographic measurements for spine deformity.

Spine deformity·2022

Related Experiment Video

Updated: Jun 1, 2026

Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics
14:14

Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics

Published on: April 16, 2017

Estimating joint kinematics from skin motion observation: modelling and validation.

Alon Wolf1, Merav Senesh

  • 1Biorobotics and Biomechanics Lab, Faculty of Mechanical Engineering, Technion - Israel Institute of Technology, Haifa 32000, Israel. alonw@technion.ac.il

Computer Methods in Biomechanics and Biomedical Engineering
|May 25, 2011
PubMed
Summary

Adding a Kalman filter to the point cluster technique (PCT) improves 3D motion analysis accuracy by reducing signal distortion and improving joint motion representation. Further biomechanical model integration may enhance results.

More Related Videos

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

Related Experiment Videos

Last Updated: Jun 1, 2026

Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics
14:14

Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics

Published on: April 16, 2017

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

Area of Science:

  • Biomechanics
  • Motion Analysis
  • Signal Processing

Background:

  • 3D motion analysis often uses skin markers, but soft tissue deformation introduces significant artifacts.
  • These artifacts distort bone position, orientation, and joint kinematics, impacting analysis accuracy.

Purpose of the Study:

  • To evaluate the effectiveness of integrating a Kalman filter with the point cluster technique (PCT) for modeling soft tissue motion in 3D analysis.
  • To assess if this combined approach reduces signal distortion and improves the accuracy of joint motion estimation.

Main Methods:

  • A statistical solid dynamics approach combining the point cluster technique (PCT) with an added Kalman filter was employed.
  • The method was tested on controlled human arm motions captured using an optical motion system (Vicon™).

Main Results:

  • The Kalman filter addition to PCT resulted in a smoother motion signal, better representing joint movement.
  • Signal distortion was reduced compared to standard digital low-pass filtering.
  • Dispersion of instantaneous frequencies was substantially decreased.

Conclusions:

  • The Kalman filter integrated with PCT produced a more accurate signal for controlled human movements.
  • Further improvements may be achieved by implementing the Kalman filter with a more sophisticated biomechanical motion model.