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

You might also read

Related Articles

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

Sort by
Same author

Continuous Heart Rate Variability Estimation From PPG via State-Space Modeling.

IEEE transactions on bio-medical engineering·2026
Same author

Smartwatch-based detection of loss of pulse.

PloS one·2026
Same author

Assessing the Role of the Autonomic Nervous System as a Driver of Sleep Quality in Patients With Multiple Sclerosis: Observation Study.

JMIR neurotechnology·2025
Same author

Beyond the hours slept: inconsistent sleep routines threaten mental health in 100,000 UK Biobank participants.

BMC public health·2025
Same author

Temporal Cardiovascular Dynamics for Improved PPG-Based Heart Rate Estimation.

IEEE journal of biomedical and health informatics·2025
Same author

Robust Heart Rate Detection via Multi-Site Photoplethysmography.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

LivingAvatars: Robust Head Reconstruction With Gaussian Lifecycle Management and Neural Detail Synthesis.

IEEE transactions on visualization and computer graphics·2026
Same journal

Two-phase Impulse Fluid on Particle Flow Map.

IEEE transactions on visualization and computer graphics·2026
Same journal

FGO-SLAM++: Real-time Geometry-Aware Gaussian SLAM with Continuous Opacity Field.

IEEE transactions on visualization and computer graphics·2026
Same journal

Blue Noise Dithering for Reservoir-based Spatio-temporal Importance Resampling.

IEEE transactions on visualization and computer graphics·2026
Same journal

ROS-GS: Relightable Outdoor Scenes With Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
See all related articles

Related Experiment Video

Updated: May 23, 2025

Computer-based Multitaper Spectrogram Program for Electroencephalographic Data
04:13

Computer-based Multitaper Spectrogram Program for Electroencephalographic Data

Published on: November 13, 2019

12.0K

Beyond Subjectivity: Continuous Cybersickness Detection Using EEG-based Multitaper Spectrum Estimation.

Berken Utku Demirel, Adnan Harun Dogan, Juliete Rossie

    IEEE Transactions on Visualization and Computer Graphics
    |March 7, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new method to measure virtual reality (VR) sickness using electroencephalography (EEG) and head motion, offering real-time, objective tracking without user calibration for better research reproducibility.

    More Related Videos

    Simultaneous Monitoring of Wireless Electrophysiology and Memory Behavioral Test as a Tool to Study Hippocampal Neurogenesis
    07:25

    Simultaneous Monitoring of Wireless Electrophysiology and Memory Behavioral Test as a Tool to Study Hippocampal Neurogenesis

    Published on: August 20, 2020

    2.9K
    Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy
    10:22

    Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

    Published on: December 6, 2016

    20.1K

    Related Experiment Videos

    Last Updated: May 23, 2025

    Computer-based Multitaper Spectrogram Program for Electroencephalographic Data
    04:13

    Computer-based Multitaper Spectrogram Program for Electroencephalographic Data

    Published on: November 13, 2019

    12.0K
    Simultaneous Monitoring of Wireless Electrophysiology and Memory Behavioral Test as a Tool to Study Hippocampal Neurogenesis
    07:25

    Simultaneous Monitoring of Wireless Electrophysiology and Memory Behavioral Test as a Tool to Study Hippocampal Neurogenesis

    Published on: August 20, 2020

    2.9K
    Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy
    10:22

    Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

    Published on: December 6, 2016

    20.1K

    Area of Science:

    • Neuroscience
    • Human-Computer Interaction
    • Virtual Reality

    Background:

    • Virtual reality (VR) offers immersive experiences but is limited by cybersickness, a condition often assessed subjectively.
    • Previous cybersickness research relied on post-immersion questionnaires and controlled environments, limiting real-world applicability.

    Purpose of the Study:

    • To develop a novel, objective method for continuously quantifying cybersickness during free interaction in VR.
    • To address the challenges of subjectivity and reproducibility in cybersickness research.

    Main Methods:

    • Passive monitoring of electroencephalography (EEG) and head motion signals during VR interaction.
    • Real-time estimation of cybersickness levels using multitaper spectrum analysis of EEG, with artifact correction for motion.
    • No user-specific calibration required for the detection method.

    Main Results:

    • Successfully developed and implemented a method to continuously and quantitatively gauge cybersickness levels in real-time.
    • Demonstrated a novel approach to overcome motion artifacts in EEG signals for cybersickness assessment.
    • Achieved objective, reproducible measurement of cybersickness without personalization.

    Conclusions:

    • The proposed method provides a significant advancement in objectively measuring cybersickness during dynamic VR experiences.
    • This approach enhances the reliability and reproducibility of cybersickness research.
    • The release of the dataset and source code aims to foster further investigation in the field.