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

Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

352
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
352
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

536
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...
536
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

514
A stroke engine has a slider-crank mechanism that 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.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
514
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

481
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...
481
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

626
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...
626
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

510
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...
510

You might also read

Related Articles

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

Sort by
Same author

From expert opinion to data driven selection of sports equipment: Boot selection in alpine ski racers.

PloS one·2026
Same author

Technology on Snow and Ice: Innovation, Monitoring, and Performance for the Olympic Winter Games Milano Cortina 2026.

Scandinavian journal of medicine & science in sports·2026
Same author

Comparing apples and pears? Evaluating the interchangeability of three different positions for hip abduction and adduction strength testing in academy footballers.

Journal of athletic training·2025
Same author

Cross-Country Ski Skating Style Sub-Technique Detection and Skiing Characteristic Analysis on Snow Using High-Precision GNSS.

Sensors (Basel, Switzerland)·2024
Same author

Effects of Foot-Strike Pattern on Neuromuscular Function During a Prolonged Graded Run.

International journal of sports physiology and performance·2024
Same author

Training Intensity Distribution of a 7-Day HIIT Shock Microcycle: Is Time in the "Red Zone" Crucial for Maximizing Endurance Performance? A Randomized Controlled Trial.

Sports medicine - open·2024

Related Experiment Video

Updated: Nov 3, 2025

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

8.2K

Connected Skiing: Motion Quality Quantification in Alpine Skiing.

Cory Snyder1,2, Aaron Martínez1,2, Rüdiger Jahnel1

  • 1Department of Sport and Exercise Science, University of Salzburg, Schlossallee 49, 5400 Hallein/Rif, Austria.

Sensors (Basel, Switzerland)
|June 2, 2021
PubMed
Summary

This study developed a wearable system using IMUs to quantify alpine ski motion quality. The system could distinguish expert from beginner skiers but needs more data for finer distinctions.

Keywords:
IMUcarvingprincipal component analysisscoringwearable

More Related Videos

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
07:51

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Published on: March 14, 2017

17.0K
Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation
08:27

Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation

Published on: October 28, 2021

3.0K

Related Experiment Videos

Last Updated: Nov 3, 2025

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

8.2K
Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
07:51

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Published on: March 14, 2017

17.0K
Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation
08:27

Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation

Published on: October 28, 2021

3.0K

Area of Science:

  • Biomechanics
  • Sports Technology
  • Human Movement Analysis

Background:

  • Wearable computing advancements enable smaller, cheaper motion quantification devices.
  • Existing wearable technologies primarily focus on quantifying motion, with fewer addressing motion quality.

Purpose of the Study:

  • To develop a wearable system for quantifying motion quality in alpine skiing.
  • To assess the system's ability to differentiate skill levels based on motion characteristics.

Main Methods:

  • Inertial Measurement Units (IMUs) were attached to the ski boots of 19 expert skiers performing various skiing styles.
  • IMU data underwent processing for turn segmentation, enrichment, and classification using established algorithms.
  • Principal Component (PC) analysis was applied to identify variability sources and score motion quality against reference data.

Main Results:

  • The developed algorithm successfully differentiated between expert and beginner skiers.
  • The system was unable to distinguish between expert skiers and ski instructors, or between ski instructors and beginners.
  • The motion quality scoring algorithm represents a novel approach but is constrained by input data accuracy.

Conclusions:

  • The wearable system shows potential for quantifying alpine ski motion quality.
  • Further refinement is needed to improve the algorithm's accuracy and differentiate more nuanced skill levels.
  • The study highlights the challenges and potential of using wearable sensors for objective biomechanical analysis in sports.