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

Machines01:19

Machines

579
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
579
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

424
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
424
Machines: Problem Solving II01:30

Machines: Problem Solving II

671
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
671
Machines: Problem Solving I01:22

Machines: Problem Solving I

714
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
714
Equation of Motion: General Plane motion01:22

Equation of Motion: General Plane motion

583
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...
583
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

2.6K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
2.6K

You might also read

Related Articles

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

Sort by
Same author

Dynamic Statistical Mechanics Modeling of Percolation Networks in Conductive Polymer Composites for Smart Sensor Applications.

Materials (Basel, Switzerland)·2025
Same author

Characterizing Six Percolation Cases in Flexible Electronic Composites: A Monte Carlo-Based 3D Compressive Percolation Model for Wearable Pressure Sensors.

Materials (Basel, Switzerland)·2025
Same author

Fabrication of a Capacitive 3D Spacer Fabric Pressure Sensor with a Dielectric Constant Change for High Sensitivity.

Sensors (Basel, Switzerland)·2024
Same author

Development and Evaluation of Vibration Canceling System Utilizing Macro-Fiber Composites (MFCs) and Long Short-Term Memory (LSTM) Vibration Prediction AI Algorithms for Road Driving Vibrations.

Materials (Basel, Switzerland)·2024
Same author

Measurement of 3D Wrist Angles by Combining Textile Stretch Sensors and AI Algorithm.

Sensors (Basel, Switzerland)·2024
Same author

A Wearable Strain Sensor Utilizing Shape Memory Polymer/Carbon Nanotube Composites Measuring Respiration Movements.

Polymers·2024

Related Experiment Video

Updated: Feb 5, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.5K

Human Motion Recognition by Textile Sensors Based on Machine Learning Algorithms.

Chi Cuong Vu1, Jooyong Kim2

  • 1Department of Organic Materials and Fiber Engineering, Soongsil University, Seoul 156-743, Korea. cuongvc287@gmail.com.

Sensors (Basel, Switzerland)
|September 19, 2018
PubMed
Summary
This summary is machine-generated.

This study combines textile stretch sensors and machine learning for realistic human motion recognition. The developed wearable system offers accurate motion identification without bulky electronics.

Keywords:
SWCNThuman motion monitoringmachine learning algorithmtextileswearables

More Related Videos

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.5K
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.0K

Related Experiment Videos

Last Updated: Feb 5, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.5K
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.5K
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.0K

Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Machine Learning

Background:

  • Wearable sensors are crucial for human physiological monitoring, yet current research often lacks sophisticated analytical algorithms.
  • Existing wearable sensor research frequently relies on basic trials, limiting practical applications in motion recognition.

Purpose of the Study:

  • To develop a realistic human motion sensing system using textile stretch sensors and machine learning.
  • To evaluate the performance of a wearable motion recognition system based on identification rate and accuracy.
  • To create a comfortable and lightweight wearable product for motion sensing applications.

Main Methods:

  • Integration of single-walled carbon nanotube (SWCNT) based textile stretch sensors with spandex fabric (PET/SP).
  • Application of machine learning algorithms for human motion recognition using data from the textile sensors.
  • Standardization and evaluation of motion identification rate and accuracy in a realistic setting.

Main Results:

  • Demonstrated the feasibility of using SWCNT-based textile stretch sensors for motion recognition.
  • Achieved a high identification rate and accuracy in recognizing standardized human motions.
  • Validated the system's performance in a realistic application scenario.

Conclusions:

  • The combination of SWCNT textile stretch sensors and machine learning offers a promising approach for realistic motion recognition.
  • The developed wearable system provides an accurate and comfortable alternative to traditional heavy electronic devices for motion sensing.
  • This research paves the way for practical, unobtrusive wearable products for human motion monitoring.