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

Measuring Acceleration Due to Gravity01:12

Measuring Acceleration Due to Gravity

814
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...
814
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

475
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...
475
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

433
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...
433
Pulse rhythm01:30

Pulse rhythm

992
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
992
Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

452
Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...
452

You might also read

Related Articles

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

Sort by
Same author

Generic neural network model for estimating exposure levels in industrial environments.

Journal of radiological protection : official journal of the Society for Radiological Protection·2026
Same author

Hybrid ray-tracing-QuaDRiGa/FDTD method for realistic 28 GHz exposure with 6G CF-MaMIMO in 3D outdoor environments.

NPJ wireless technology·2026
Same author

QIMO: Q-Learning-Based Adaptive Impairment Margin Optimization in DVB-S2X Satellite Communication.

Sensors (Basel, Switzerland)·2026
Same author

Antibacterial activity and cytotoxicity of tricalcium silicate-based cements with different antibacterial additives.

Scientific reports·2026
Same author

Experimental and numerical assessment of near-field exposure of a 60 GHZ communication antenna.

Radiation protection dosimetry·2026
Same author

Characterizing Digital Communication Device Use Among Young People From 4 European Countries: Cross-Sectional Survey Study.

Journal of medical Internet research·2025

Related Experiment Video

Updated: Oct 16, 2025

Physical Activity Measurement in Children Accepting Table Tennis Training
06:51

Physical Activity Measurement in Children Accepting Table Tennis Training

Published on: July 27, 2022

2.1K

Horse Jumping and Dressage Training Activity Detection Using Accelerometer Data.

Anniek Eerdekens1, Margot Deruyck1, Jaron Fontaine2

  • 1WAVES-IMEC, Department of Information Technology, Ghent University-IMEC, 9052 Ghent, Belgium.

Animals : an Open Access Journal From MDPI
|October 23, 2021
PubMed
Summary

This study introduces a novel neural network model for equine activity detection. It accurately identifies 6 jumping and 25 dressage activities, enhancing horse training and performance monitoring.

Keywords:
CNNaccelerometeractivity recognitiondressagemachine learningneural networkshow jumping

More Related Videos

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
08:12

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

Published on: June 5, 2019

20.0K
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

8.9K

Related Experiment Videos

Last Updated: Oct 16, 2025

Physical Activity Measurement in Children Accepting Table Tennis Training
06:51

Physical Activity Measurement in Children Accepting Table Tennis Training

Published on: July 27, 2022

2.1K
Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
08:12

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

Published on: June 5, 2019

20.0K
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

8.9K

Area of Science:

  • Equine science
  • Animal biomechanics
  • Machine learning applications in sports

Background:

  • Accurate detection of equine training activities is crucial for performance and fitness.
  • Existing technologies lack user-friendliness and fail to detect specific training actions beyond basic gaits.

Purpose of the Study:

  • To develop and validate a user-friendly system for detecting specific equine training activities.
  • To classify various jumping and dressage movements using machine learning models.
  • To estimate equine gait velocities during training.

Main Methods:

  • Collected leg accelerometer data from 14 well-trained horses during jumping and dressage.
  • Developed neural network models for activity classification.
  • Created a velocity estimation model based on measured gait velocities.

Main Results:

  • Achieved 100% accuracy in classifying jumping training and 96.29% for dressage training.
  • Dressage movement classification accuracy reached up to 100% when using superclasses.
  • Identified the side of dressage movement with 97.08% accuracy.
  • Estimated velocities for walk, trot, and canter with low root mean square errors (0.07, 0.14, and 0.42 m/s, respectively).

Conclusions:

  • The developed neural network models offer a highly accurate and user-friendly solution for equine training activity detection.
  • This technology can significantly enhance the monitoring of horse performance and fitness.
  • Accurate velocity estimation provides valuable data for assessing gait quality and training intensity.