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

Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

481
Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
Next,...
481

You might also read

Related Articles

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

Sort by
Same journal

RETRACTION: Real-Time Modulation of Physical Training Intensity Based on Wavelet Recursive Fuzzy Neural Networks.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Multidimensional Heterogeneous Network Link Adaptation Based on Mobile Environment.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Framework to Segment and Evaluate Multiple Sclerosis Lesion in MRI Slices Using VGG-UNet.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Facial Emotion Recognition Using a Novel Fusion of Convolutional Neural Network and Local Binary Pattern in Crime Investigation.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Automatic Intelligent System Using Medical of Things for Multiple Sclerosis Detection.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Intangible Cultural Heritage Reproduction and Revitalization: Value Feedback, Practice, and Exploration Based on the IPA Model.

Computational intelligence and neuroscience·2026

Related Experiment Video

Updated: Sep 25, 2025

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

12.8K

Research on Virtual Human Motion Control Based on Computer-Assisted Multimedia Simulation.

Xiangzi He1, Xinqin Jin1, Jun Zheng1

  • 1Harbin Institute of Petroleum, Harbin Heilongjiang, Harbin 150000, China.

Computational Intelligence and Neuroscience
|May 2, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces computer-aided ergonomics simulation for realistic virtual human motion. Ergonomic analysis revealed high hand loads, necessitating production line revisions for improved worker safety and efficiency.

More Related Videos

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
10:14

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

Published on: May 10, 2024

1.2K
Measuring the Kinematics of Daily Living Movements with Motion Capture Systems in Virtual Reality
08:45

Measuring the Kinematics of Daily Living Movements with Motion Capture Systems in Virtual Reality

Published on: April 5, 2018

7.7K

Related Experiment Videos

Last Updated: Sep 25, 2025

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

12.8K
Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
10:14

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

Published on: May 10, 2024

1.2K
Measuring the Kinematics of Daily Living Movements with Motion Capture Systems in Virtual Reality
08:45

Measuring the Kinematics of Daily Living Movements with Motion Capture Systems in Virtual Reality

Published on: April 5, 2018

7.7K

Area of Science:

  • Human-computer interaction
  • Occupational ergonomics
  • Virtual reality simulation

Background:

  • Realistic virtual human motion is crucial for effective virtual environment design.
  • Computer-aided ergonomics simulation offers a quantitative approach to analyzing human-machine interactions.
  • Existing methods may lack efficiency in identifying and resolving ergonomic issues in production planning.

Purpose of the Study:

  • To propose a virtual human motion control method based on computer-aided ergonomics simulation.
  • To establish a simulation environment for human bodies, workpieces, and production lines.
  • To provide an efficient and quantitative evaluation method for production line planning.

Main Methods:

  • Establishing a simulation environment including virtual human models, workpieces, and production lines.
  • Utilizing ergonomic analysis tools such as OWAS (Ovako Working Posture Analyzing System) and BSHA (Biomechanical Strength Hazard Assessment).
  • Conducting ergonomic simulations to identify man-machine problems and assess virtual human motion.

Main Results:

  • Simulation identified that virtual human hand loads reached up to 70% of the ultimate load during operation.
  • Analysis pinpointed low storage point and machine tool heights as causes for poor posture and high loads.
  • The study demonstrated the necessity of revising the production line plan based on ergonomic findings.

Conclusions:

  • Computer-aided ergonomics simulation provides a valuable tool for optimizing production line design.
  • Revising production line parameters, such as height, can significantly mitigate ergonomic risks.
  • Advanced simulation tools like ProcessSimulate and ProcessDesigner are expected to enhance enterprise digitization efforts.