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

Force01:06

Force

33.0K
Forces affect every moment of our life. Our bodies are held to the Earth by force, and they are held together by the forces of charged particles. When we open a door, walk down a street, lift a fork, or touch a baby's face, we are applying force. Our body's atoms are held together by electrical forces, and the core of an atom, called the nucleus, is held together by the strongest force known to us—nuclear force.
The study of motion is called kinematics, but kinematics only...
33.0K
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

950
A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
950
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

886
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. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
886
Measuring Acceleration Due to Gravity01:12

Measuring Acceleration Due to Gravity

1.3K
Consider a coffee mug hanging on a hook in a pantry. If the mug gets knocked, it oscillates back and forth like a pendulum until the oscillations die out.
A simple pendulum can be described as a point mass and a string. Meanwhile, a physical pendulum is any object whose oscillations are similar to a simple pendulum, but cannot be modeled as a point mass on a string because its mass is distributed over a larger area. The behavior of a physical pendulum can be modeled using the principles of...
1.3K
Three-Dimensional Force System01:30

Three-Dimensional Force System

2.9K
In mechanical engineering, a three-dimensional force system is a system of forces acting in three dimensions, with forces applied along the x, y, and z coordinate axes. The three-dimensional force system is an important concept in mechanical engineering, as it allows engineers to understand and analyze the behavior of objects and structures in three dimensions. By understanding the forces acting on a system, engineers can design more efficient and effective mechanical systems that can withstand...
2.9K
Two-Dimensional Force System01:20

Two-Dimensional Force System

1.7K
A two-dimensional system in mechanical engineering involves the analysis of motion and forces in a plane. A two-dimensional force vector can be resolved into its components as:
1.7K

You might also read

Related Articles

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

Sort by
Same author

Noninferiority of Randomly Assigned Telehealth and Center-Based Regional Exercise-Based Cardiac Rehabilitation Programs When Delivered With High Fidelity.

Journal of cardiopulmonary rehabilitation and prevention·2026
Same author

Increasing physical activity in rural Pennsylvanians: The PA moves trial study protocol for a cluster randomized controlled trial.

Contemporary clinical trials·2026
Same author

The Influence of Individual Resistance Training Variables on Muscle Strength: A Systematic Review and Meta-analysis.

Sports medicine (Auckland, N.Z.)·2026
Same author

Implementing gestational weight gain guidelines in midwifery practice: A qualitative study using Normalisation Process Theory.

Midwifery·2026
Same author

The promotion of non-treatment physical activity in physiotherapy and exercise physiology practice in an Australian regional hospital: A mixed-methods study.

JSAMS plus·2026
Same author

Wellbeing and quality of life secondary outcomes from a Mediterranean Diet and walking randomised controlled trial in older Australians.

Public health nutrition·2026

Related Experiment Video

Updated: Feb 22, 2026

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
07:24

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers

Published on: April 21, 2017

13.1K

Construct Validity of Accelerometry-Derived Force to Quantify Basketball Movement Patterns.

Craig Staunton1, Daniel Wundersitz1, Brett Gordon1

  • 1Exercise Physiology, La Trobe Rural Health School, La Trobe University, Australia.

International Journal of Sports Medicine
|October 2, 2017
PubMed
Summary
This summary is machine-generated.

Accelerometry-derived net force accurately quantifies basketball players' external workload. This new method, average net force (AvFNet), is more effective than PlayerLoad™ for measuring intensity during demanding basketball movements.

More Related Videos

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

9.2K
An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

8.7K

Related Experiment Videos

Last Updated: Feb 22, 2026

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
07:24

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers

Published on: April 21, 2017

13.1K
Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

9.2K
An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

8.7K

Area of Science:

  • Sports Science
  • Biomechanics
  • Exercise Physiology

Background:

  • Quantifying external workload in basketball is crucial for training and performance monitoring.
  • Existing methods like PlayerLoad™ may not fully capture the unique demands of basketball movements.
  • Accelerometry-derived measures offer a potential avenue for more precise workload assessment.

Purpose of the Study:

  • To assess the construct validity of accelerometry-derived average net force (AvFNet) in quantifying basketball's external demands.
  • To compare the effectiveness of AvFNet against PlayerLoad™ per minute (PL/min) in measuring movement intensity.
  • To explore the relationship between AvFNet, movement speed, playing position, and player characteristics.

Main Methods:

  • Twenty-eight basketball players performed the Yo-Yo intermittent recovery test (Yo-Yo-IR1) and a basketball exercise simulation test (BEST).
  • Intensity was measured using accelerometry-derived AvFNet and PL/min.
  • Correlations between AvFNet, running speed, and PL/min were analyzed; measured and predicted AvFNet were compared during BEST.

Main Results:

  • AvFNet showed a nearly perfect correlation with running speed during Yo-Yo-IR1 (r2=0.95), outperforming PL/min (r2=0.80).
  • Differences between measured and predicted AvFNet were minimal for linear running (<1%) but significant for basketball-specific actions (15%-41%).
  • AvFNet varied by playing position (11%-16%) and reflected demands related to body mass and movement efficiency; both speed and AvFNet decreased during the BEST.

Conclusions:

  • The findings confirm the construct validity of accelerometry-derived AvFNet for quantifying the external demands of basketball movements.
  • AvFNet provides a more sensitive measure of intensity for dynamic basketball actions compared to PL/min.
  • Accelerometry-derived net force holds significant potential for monitoring basketball players' workload during training and competition.