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: May 24, 2025

Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients
07:43

Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients

Published on: June 17, 2019

7.7K

Focused State Recognition Using EEG with Eye Movement-Assisted Annotation.

Tian-Hua Li, Tian-Fang Ma, Dan Peng

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    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

    A Critical Review of Cytochrome P450 Enzyme Inhibition by Herbal Phytochemicals: Implications for Drug Interaction Prediction and Herbal Safety.

    Phytotherapy research : PTR·2026
    Same author

    The impact of information technology stress on the emotional labor of nursing teachers: A moderated mediation model.

    Nurse education today·2026
    Same author

    Nutrient fluctuations alter effects of litter diversity of invasive species on native communities.

    Oecologia·2026
    Same author

    Research status and prospective directions of ferroptosis in the pathogenesis of vascular calcification.

    Tissue & cell·2026
    Same author

    PagWRKY40 transcription factor improved insect resistance of Populus alba ×P. glandulosa.

    Plant physiology and biochemistry : PPB·2026
    Same author

    A Roadmap to Navigate the Future of Neural Engineering.

    Journal of neural engineering·2026
    Same journal

    Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

    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

    AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

    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

    Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

    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

    Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

    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

    Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

    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

    A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    See all related articles

    This study introduces a novel method to detect focused brain states using electroencephalography (EEG) and eye movement signals. Achieving 90.16% accuracy, this approach enhances understanding of cognitive states through advanced machine learning.

    Area of Science:

    • Neuroscience
    • Machine Learning
    • Cognitive Science

    Background:

    • Machine learning advancements enable sophisticated analysis of brain activity via EEG and eye movements.
    • Deep learning models effectively classify brain activities by learning EEG and eye movement features.
    • Differentiating focused from unfocused cognitive states is crucial and can be inferred from eye movement variations.

    Purpose of the Study:

    • To propose an annotation method for focused cognitive states by integrating EEG features and eye movement data.
    • To develop a comprehensive dataset for focused state analysis.
    • To evaluate the efficacy of deep learning models, particularly Transformers, in classifying focused states.

    Main Methods:

    • Calculated binocular focusing point disparity from eye movement signals.

    More Related Videos

    Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content
    10:41

    Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content

    Published on: May 26, 2018

    6.8K
    Eye Movement Monitoring of Memory
    08:06

    Eye Movement Monitoring of Memory

    Published on: August 15, 2010

    14.6K

    Related Experiment Videos

    Last Updated: May 24, 2025

    Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients
    07:43

    Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients

    Published on: June 17, 2019

    7.7K
    Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content
    10:41

    Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content

    Published on: May 26, 2018

    6.8K
    Eye Movement Monitoring of Memory
    08:06

    Eye Movement Monitoring of Memory

    Published on: August 15, 2010

    14.6K
  • Integrated relevant electroencephalography (EEG) features.
  • Developed a dataset with EEG features and eye movement-annotated focused labels.
  • Trained and tested deep learning models, including the Transformer architecture.

    • Main Results:

    • Achieved 90.16% accuracy in subject-dependent experiments using the Transformer model.
    • Demonstrated generalizability through cross-subject experiments.
    • Identified key frequency bands and brain regions, providing physiological explanations for the findings.

    Conclusions:

    • The proposed method effectively annotates focused cognitive states using EEG and eye movement signals.
    • Deep learning models, especially Transformers, are highly effective for classifying cognitive states.
    • The approach offers a valid and generalizable method for understanding brain activity and cognitive states.