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

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 drone...
Gyroscope01:02

Gyroscope

A gyroscope is defined as a spinning disk in which the axis of rotation is free to assume any orientation. When spinning, the orientation of the spin axis is unaffected by the orientation of the body that encloses it. The body or vehicle enclosing the gyroscope can be moved from place to place, while the orientation of the spin axis remains the same. This makes gyroscopes very useful in navigation, especially where magnetic compasses cannot be used, such as in crewed and crewless spacecraft,...
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

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...
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

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...
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

The 2026 global roadmap for textile-integrated wearable technologies in health.

Physiological measurement·2026
Same author

Corrigendum to "Fully-printed microneedles meet plants: a pathway towards easy-to-use NFC monitoring of total ionic conductivity in precision agriculture" [Biosens. Bioelectron. 306 (2026) 118667].

Biosensors & bioelectronics·2026
Same author

Fully-printed microneedles meet plants: a pathway towards easy-to-use NFC monitoring of total ionic conductivity in precision agriculture.

Biosensors & bioelectronics·2026
Same author

In-fibre logic and memory via tuneable passivation-corrosion.

Nature communications·2026
Same author

Fully Screen-Printed Pressure Sensing Insole-From Proof of Concept to Scalable Manufacturing.

Sensors (Basel, Switzerland)·2026
Same author

Profiled Wet Spinning of Polyurethane Composites for Soft Dry Electrodes in Transcutaneous Stimulation Applications.

Materials (Basel, Switzerland)·2026
Same journal

Rockburst-inspired controlled spontaneous fragmentation of hard rock via ultra-high frequency particle impact.

Communications engineering·2026
Same journal

In-situ enhancement of autotrophic nitrogen removal in coking wastewater using staged diatomite and pyrite strategy.

Communications engineering·2026
Same journal

Thermo-mechanical behavior and thermal regulation measures of subgrade layer in roads under stochastic periodic thermal disturbance.

Communications engineering·2026
Same journal

Network architecture follows coupling in multiphysics systems: single vs. multiple branches in DeepONet and S-DeepONet.

Communications engineering·2026
Same journal

A robust GaN p-FET with unconventional electron conduction.

Communications engineering·2026
Same journal

Mobile charges in MoS<sub>2</sub>/high-k oxide transistors: from abnormal instabilities to transient negative differential resistance.

Communications engineering·2026
See all related articles

Related Experiment Video

Updated: May 8, 2026

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Optimized sensor-embedded loose garment for accurate motion detection.

Mohamed Elgendi1,2,3, Tomasz Raczyński4,5,6, Alexander Shokurov4

  • 1Department of Biomedical Engineering and Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, UAE. mohamed.elgendi@ku.ac.ae.

Communications Engineering
|May 6, 2026
PubMed
Summary
This summary is machine-generated.

This study developed a sensor-embedded T-shirt for motion analysis. Specific sensor placements on the shoulder, ribcage, and abdomen achieved high accuracy in recognizing eight distinct movements using wearable technology.

More Related Videos

Setup for the Quantitative Assessment of Motion and Muscle Activity During a Virtual Modified Box and Block Test
04:06

Setup for the Quantitative Assessment of Motion and Muscle Activity During a Virtual Modified Box and Block Test

Published on: January 12, 2024

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable
09:24

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

Published on: May 17, 2024

Related Experiment Videos

Last Updated: May 8, 2026

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Setup for the Quantitative Assessment of Motion and Muscle Activity During a Virtual Modified Box and Block Test
04:06

Setup for the Quantitative Assessment of Motion and Muscle Activity During a Virtual Modified Box and Block Test

Published on: January 12, 2024

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable
09:24

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

Published on: May 17, 2024

Area of Science:

  • Biomedical Engineering
  • Textile Science
  • Wearable Technology

Background:

  • Wearable technology offers continuous, non-invasive health and performance monitoring.
  • Traditional lab-based assessments have limitations compared to real-world data collection.
  • Sensor-embedded garments provide a promising avenue for unobtrusive biomechanical signal tracking.

Purpose of the Study:

  • To develop and test a sensor-embedded loose garment for motion analysis.
  • To evaluate the effectiveness of conductive ink sensors for capturing torso movements.
  • To identify optimal sensor placements and machine learning classifiers for textile-based motion recognition.

Main Methods:

  • Development of a T-shirt with conductive ink sensors at ten strategic locations (chest, shoulders, ribcage, lower torso).
  • Evaluation of sensor combinations using four machine learning classifiers (XGBoost, RandomForest, SVM, K-Nearest Neighbors).
  • Analysis of data using three holdout cross-validation methods (20-80%, 30-70%, 50-50%).

Main Results:

  • Specific sensor combinations, particularly on the shoulder, ribcage, and abdomen, demonstrated the highest motion recognition accuracy.
  • The study successfully distinguished among eight different movements using the textile-based sensor system.
  • The performance of different classifiers and sensor configurations was systematically evaluated.

Conclusions:

  • Textile-based motion recognition systems can effectively capture detailed body movements in loose garments.
  • Optimized sensor placement is crucial for maximizing accuracy in wearable motion analysis.
  • This technology holds significant potential for applications in health monitoring, sports, and ergonomics.