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

Loose Connective Tissue01:26

Loose Connective Tissue

9.3K
Loose connective tissue is found between many organs. Its main function is to absorb shock and bind tissues together. It also allows water, salts, and various nutrients to diffuse into cells that are embedded in it or present in adjacent tissues.
Adipose Tissue
Adipose tissue consists primarily of fat storage cells called adipocytes and little extracellular matrix. A large number of capillaries present within adipose tissue allow rapid mobilization of lipid molecules. White adipose tissue is...
9.3K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

45.5K
VSEPR Theory for Determination of Electron Pair Geometries
45.5K
Equation of Motion: General Plane motion01:22

Equation of Motion: General Plane motion

564
In the context of a rigid body's movement within a general plane, it is important to understand that this motion is typically triggered by external forces or couple moments exerted onto it. This principle can be explained through Newton's second law, which stipulates the translational motion of the body's center of mass along each axis.
Moreover, the body's center of mass experiences a rotational effect as a result of these couple moments. This rotation can be articulated as the...
564
Prediction Intervals01:03

Prediction Intervals

3.3K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
3.3K
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

542
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...
542
Equation of Motion: General Plane motion - Problem Solving01:16

Equation of Motion: General Plane motion - Problem Solving

492
Consider a lawn roller with a mass of 100 kg, a radius of 0.2 meters, and a radius of gyration of 0.15 meters. A force of 200 N is applied to this roller, angled at 60 degrees from the horizontal plane. What will be the angular acceleration of the lawn roller?
The friction between the roller and the ground is characterized by two coefficients. The static friction coefficient is 0.15, while the kinetic friction coefficient is 0.1. These values are crucial in understanding the interaction between...
492

You might also read

Related Articles

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

Sort by
Same author

Bridging the gap between experimental control and ecological validity in human sensorimotor science.

The Journal of physiology·2024
Same author

A Probabilistic Model of Human Activity Recognition with Loose Clothing.

Sensors (Basel, Switzerland)·2023
Same author

Human muscle and spinal activation in response to body weight loading.

Journal of anatomy·2023
Same author

Methodological considerations in measuring specific force in human single skinned muscle fibres.

Acta physiologica (Oxford, England)·2021
Same author

Visual field motion during a body pull affects compensatory standing and stepping responses.

The Journal of physiology·2020
Same journal

PCSK5 promotes angiogenesis and cardiac repair after myocardial infarction.

Nature communications·2026
Same journal

PfApiAT2 is a proline transporter essential for the transmission of Plasmodium falciparum by the mosquito vector.

Nature communications·2026
Same journal

Transient distortions of the South Atlantic Anomaly radiation environments driven by electric fields.

Nature communications·2026
Same journal

Structural basis of the regulation by CDK11 kinase of early spliceosome activation and evidence for its proofreading by DHX15 helicase.

Nature communications·2026
Same journal

Structural and mechanistic insights into primer synthesis initiation by DNA primase.

Nature communications·2026
Same journal

Changes in heritability and shared environmentality of educational attainment across twentieth-century Norway.

Nature communications·2026
See all related articles

Related Experiment Video

Updated: Jan 22, 2026

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

9.3K

Human motion recognition and prediction using loose cloth.

Tianchen Shen1, Sacha Morris2, Irene Di Giulio3

  • 1Department of Engineering, King's College London, London, England, UK. tianchen.shen@kcl.ac.uk.

Nature Communications
|January 20, 2026
PubMed
Summary
This summary is machine-generated.

This study shows that sensors in clothing can accurately recognize and predict human motion. Garment sensors offer a more comfortable and efficient alternative to traditional body-worn sensors for motion analysis.

More Related Videos

Human In Vitro Suppression as Screening Tool for the Recognition of an Early State of Immune Imbalance
14:01

Human In Vitro Suppression as Screening Tool for the Recognition of an Early State of Immune Imbalance

Published on: July 22, 2011

15.0K
Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
05:38

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

Published on: June 29, 2021

2.8K

Related Experiment Videos

Last Updated: Jan 22, 2026

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

9.3K
Human In Vitro Suppression as Screening Tool for the Recognition of an Early State of Immune Imbalance
14:01

Human In Vitro Suppression as Screening Tool for the Recognition of an Early State of Immune Imbalance

Published on: July 22, 2011

15.0K
Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
05:38

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

Published on: June 29, 2021

2.8K

Area of Science:

  • Wearable technology
  • Human-computer interaction
  • Biomedical engineering

Background:

  • Conventional human motion analysis often uses uncomfortable, tightly attached body sensors.
  • There is a need for more practical and comfortable methods for motion recognition and prediction.
  • Intelligent textiles offer a potential solution for unobtrusive sensing.

Purpose of the Study:

  • To investigate the use of garments with embedded sensors for human motion recognition and prediction.
  • To analyze how clothing movement can predict body motion.
  • To compare the performance of fabric-embedded sensors with traditional body-attached sensors.

Main Methods:

  • Simulated and real-world scenarios were used to analyze motion.
  • Sensors were embedded within loose-fitting garments.
  • The movement of the fabric was correlated with human body motion.
  • Recognition accuracy and required movement history were measured.

Main Results:

  • Sensors attached to fabric significantly improve motion recognition accuracy by up to 40%.
  • Fabric-based sensors require approximately 80% less movement history compared to body-attached sensors.
  • Garment motion provides valuable data for human movement analysis.

Conclusions:

  • Motion recognition and prediction can be effectively achieved using sensors integrated into clothing.
  • Intelligent textiles provide a promising avenue for comfortable and efficient human motion analysis.
  • This approach enhances user comfort and reduces data requirements for motion tracking.