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

  1. Home
  3. Research Domains
  5. Engineering
  7. Manufacturing Engineering
  9. Precision Engineering
  11. Forcectrl: Hand-raycasting With User-defined Pinch Force For Control-display Gain Application.
  1. Home
  3. Research Domains
  5. Engineering
  7. Manufacturing Engineering
  9. Precision Engineering
  11. Forcectrl: Hand-raycasting With User-defined Pinch Force For Control-display Gain Application.

Related Experiment Video

Measurement of Spatial Stability in Precision Grip
09:36

Measurement of Spatial Stability in Precision Grip

Published on: June 4, 2020

3.5K

ForceCtrl: Hand-Raycasting With User-Defined Pinch Force for Control-Display Gain Application.

Seo Young Oh, Junghoon Seo, Juyoung Lee

    IEEE Transactions on Visualization and Computer Graphics
    |December 23, 2025

    View abstract on PubMed

    Summary
    This summary is machine-generated.

    ForceCtrl improves 3D hand raycasting precision using pinch force to adjust control-display (CD) gain. This novel technique enhances accuracy and reduces user workload for AR/VR interactions.

    More Related Videos

    Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
    09:01

    Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

    Published on: April 4, 2017

    9.0K
    An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles
    09:27

    An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

    Published on: August 25, 2020

    4.7K

    Related Experiment Videos

    Measurement of Spatial Stability in Precision Grip
    09:36

    Measurement of Spatial Stability in Precision Grip

    Published on: June 4, 2020

    3.5K
    Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
    09:01

    Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

    Published on: April 4, 2017

    9.0K
    An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles
    09:27

    An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

    Published on: August 25, 2020

    4.7K

    Area of Science:

    • Human-Computer Interaction
    • Virtual Reality
    • Augmented Reality

    Background:

    • Current 3D hand raycasting techniques face limitations in precision due to human motor control.
    • Existing methods often struggle with distant targets and high-difficulty tasks, leading to errors and increased user workload.

    Purpose of the Study:

    • To introduce ForceCtrl, a novel 3D hand raycasting technique that enhances pointing precision.
    • To investigate the use of user-defined pinch force, detected via surface electromyography (sEMG), for dynamic control-display (CD) gain adjustment.
    • To evaluate the effectiveness of different CD gain strategies in improving target selection and placement accuracy.

    Main Methods:

    • Developed ForceCtrl, a target-agnostic raycasting technique adjusting CD gain based on detected pinch force (sEMG).
  • Implemented three distinct CD gain strategies for user interaction.
  • Conducted user studies involving target selection and placement tasks to compare performance across different strategies.

    • Main Results:

    • ForceCtrl significantly reduced selection errors and placement jitters, particularly for distant targets.
    • The system demonstrated a reduction in user workload during high-difficulty tasks.
    • User-defined pinch force effectively enabled dynamic activation/deactivation of CD gain.

    Conclusions:

    • Applying CD gain adjustment based on user-defined pinch force is effective for enhancing hand raycasting precision in AR/VR.
    • ForceCtrl offers a robust input modality for precise interactions, overcoming limitations of human motor abilities.
    • The findings suggest a promising direction for developing more intuitive and accurate AR/VR interaction techniques.