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: Jul 16, 2025

Eye Movement Monitoring of Memory
08:06

Eye Movement Monitoring of Memory

Published on: August 15, 2010

14.7K

Trial frame for evaluating eye movements.

Tao Jin, Guanglin Li, Lihua Lei

    Applied Optics
    |September 14, 2023
    PubMed
    Summary
    This summary is machine-generated.

    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

    Dual-Modulus Microcone Array for Graded Tactile Sensing and Intelligent Slip Detection.

    ACS applied materials & interfaces·2026
    Same author

    AdaWGAN: Data Augmentation for Few-Shot HD-sEMG Gesture Recognition Using Single-Trial Data.

    IEEE journal of biomedical and health informatics·2026
    Same author

    Advances in printable flexible and stretchable thin-film electrodes: materials, interfaces, technologies and bioelectronic applications.

    Nanoscale·2026
    Same author

    Nondestructive determination of ash content in wheat flour via terahertz time-domain spectroscopy.

    Frontiers in plant science·2026
    Same author

    Resting-state brain network alterations in adolescent idiopathic scoliosis using functional near-infrared spectroscopy.

    Biomedical engineering online·2026
    Same author

    A Novel Sliding Mode Differentiator-Based Feature for EMG-Based Hand Gesture Characterization.

    IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
    Same journal

    Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

    Applied optics·2026
    Same journal

    High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

    Applied optics·2026
    Same journal

    Automated stitching interferometry for high-precision metrology of X-ray mirrors.

    Applied optics·2026
    Same journal

    Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

    Applied optics·2026
    Same journal

    High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

    Applied optics·2026
    Same journal

    Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

    Applied optics·2026
    See all related articles

    A novel wearable eye tracking trial frame was developed for accurate eye movement research in individuals with and without refractive errors. This system achieves high detection rates for pupils and blinks, advancing wearable eye tracking technology.

    Area of Science:

    • Neuroscience
    • Psychology
    • Biomedical Engineering

    Background:

    • Eye movement research is crucial in psychology and neuroscience.
    • Current eye tracking methods often rely on controlled, screen-based environments.
    • There is a growing need for wearable eye tracking solutions, especially for individuals with refractive errors.

    Purpose of the Study:

    • To develop a wearable eye tracking system suitable for subjects with and without refractive errors.
    • To enable eye movement research in more naturalistic settings.
    • To overcome limitations of existing eye tracking technologies for specific populations.

    Main Methods:

    • A trial frame was designed incorporating two iris cameras and infrared LEDs.
    • A 2.4G wireless system transmitted eye images to a host computer on the frame.

    More Related Videos

    Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
    07:45

    Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

    Published on: July 21, 2020

    4.5K
    VisualEyes: A Modular Software System for Oculomotor Experimentation
    10:41

    VisualEyes: A Modular Software System for Oculomotor Experimentation

    Published on: March 25, 2011

    12.8K

    Related Experiment Videos

    Last Updated: Jul 16, 2025

    Eye Movement Monitoring of Memory
    08:06

    Eye Movement Monitoring of Memory

    Published on: August 15, 2010

    14.7K
    Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
    07:45

    Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

    Published on: July 21, 2020

    4.5K
    VisualEyes: A Modular Software System for Oculomotor Experimentation
    10:41

    VisualEyes: A Modular Software System for Oculomotor Experimentation

    Published on: March 25, 2011

    12.8K
  • Machine learning models were employed for eye position recognition, segmentation, pupil detection, and blink detection.
  • Ellipse fitting and eye aspect ratio were used for precise detection.

    • Main Results:

    • The developed system achieved a 97.24% correct detection rate for pupils.
    • The system demonstrated a 96.14% correct detection rate for blinks.
    • The wearable system proved feasible for subjects with refractive errors.

    Conclusions:

    • The proposed trial frame is a feasible and effective wearable eye tracking system.
    • This technology expands the applicability of eye movement research to diverse populations.
    • The system offers a promising solution for unobtrusive eye tracking in real-world environments.