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 Experiment Video

Updated: Oct 18, 2025

Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator
03:49

Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator

Published on: May 19, 2023

1.1K

Learning from Deep Stereoscopic Attention for Simulator Sickness Prediction.

Minghan Du, Hui Cui, Yuan Wang

    IEEE Transactions on Visualization and Computer Graphics
    |September 28, 2021
    PubMed
    Summary

    This study introduces a new machine learning model to predict virtual reality simulator sickness. It effectively integrates visual features for more accurate sickness score estimation, improving upon existing methods.

    Related Concept Videos

    You might also read

    Related Articles

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

    Sort by
    Same author

    Conformational hijacking of lipoprotein transporter LolDF enables precision antimicrobial activity against Acinetobacter baumannii.

    Nature communications·2026
    Same author

    A Review of Cybersecurity Issues in Smart Meter-Based Energy Trading.

    Sensors (Basel, Switzerland)·2026
    Same author

    Multi-granularity transformer contrastive learning and feature reconstruction for prediction of disease-related miRNAs.

    BMC bioinformatics·2026
    Same author

    FootEyePorting: Design and Evaluation of Foot-Eye Teleportation Techniques in Virtual Reality.

    IEEE transactions on visualization and computer graphics·2026
    Same author

    VRN-Back: An Immersive Music Rhythm Game for Working Memory Training in Virtual Reality.

    IEEE transactions on visualization and computer graphics·2026
    Same author

    GenerativeSurface: GenAI-Assisted Semantic Scaffolding for 3D Conceptual Design in Mixed Reality.

    IEEE transactions on visualization and computer graphics·2026

    Area of Science:

    • Virtual Reality (VR) and Human-Computer Interaction
    • Machine Learning and Computer Vision
    • Biomedical Engineering and Neuroscience

    Background:

    • Simulator sickness from 360° stereoscopic video in VR remains a significant challenge.
    • Existing machine learning models often overlook crucial interdependencies between visual features for sickness prediction.

    Purpose of the Study:

    • To develop an advanced machine learning model for predicting simulator sickness.
    • To automatically learn and adaptively integrate multi-level visual features from stereoscopic videos for accurate sickness score estimation.

    Main Methods:

    • Feature extraction including saliency, optical flow, and disparity to represent attention, motion, and depth.
    • Utilizing a 3-dimensional Convolutional Neural Network (3D CNN) for multi-level feature learning.

    More Related Videos

    Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
    07:48

    Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

    Published on: April 4, 2025

    699
    Stereoacuity Improvement using Random-Dot Video Games
    06:25

    Stereoacuity Improvement using Random-Dot Video Games

    Published on: January 14, 2020

    14.6K

    Related Experiment Videos

    Last Updated: Oct 18, 2025

    Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator
    03:49

    Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator

    Published on: May 19, 2023

    1.1K
    Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
    07:48

    Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

    Published on: April 4, 2025

    699
    Stereoacuity Improvement using Random-Dot Video Games
    06:25

    Stereoacuity Improvement using Random-Dot Video Games

    Published on: January 14, 2020

    14.6K
  • Employing an attentional mechanism to adaptively fuse multi-level features for final sickness score prediction.

    • Main Results:

    • The proposed model demonstrated superior performance compared to state-of-the-art methods.
    • Significant improvements were observed in Root Mean Square Error (RMSE) and Pearson Linear Correlation Coefficient.
    • Ablation studies confirmed the effectiveness of the integrated multi-level feature approach.

    Conclusions:

    • The developed model offers a more robust approach to predicting simulator sickness in VR.
    • Adaptive fusion of multi-level visual features is key to improving prediction accuracy.
    • This work advances the understanding and mitigation of VR-induced simulator sickness.