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

Residual Plots01:07

Residual Plots

A residual plot is a statistical representation of data used to analyze correlation and regression results. It helps verify the requirements for drawing specific conclusions about correlation and regression. To obtain the residual plot, first, the residual for each data value is calculated, which is simply the vertical distance between the observed and the predicted value obtained from the regression equation.
When the residual values are plotted against the variable x, it is called a residual...
Deactivation Processes: Jablonski Diagram01:25

Deactivation Processes: Jablonski Diagram

Luminescence, the emission of light by a substance that has absorbed energy, is a process that involves the interaction of molecules with light. The energy-level diagram, or Jablonski diagram, is a graphical representation of these interactions, illustrating the various states and transitions a molecule can undergo. In a typical Jablonski diagram, the lowest horizontal line represents the ground-state energy of the molecule, which is usually a singlet state. This state represents the energies...
Central Tendency: Analysis01:10

Central Tendency: Analysis

Measures of central tendency are tools used in biostatistics to identify the average or center of a dataset. They offer a single representative value for understanding and summarizing data distribution.
The mean is one such measure, calculated by totaling all values in a dataset and dividing by the number of values. For instance, the mean blood pressure reading (120, 130, 140, 150) would be 135. However, the mean can be affected by extreme values or outliers.
The median, another measure,...
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
Visual System01:26

Visual System

Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
Survival Tree01:19

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a survival tree begins...

You might also read

Related Articles

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

Sort by
Same author

The alkaloid-rich extract of Piper sintenense Hatusima alleviates gouty inflammatory response via Nrf2-mediated antioxidant induction.

Inflammopharmacology·2026
Same author

Psychiatric events induced by roflumilast: a real-world pharmacovigilance study of the FDA Adverse Event Reporting System database.

Frontiers in psychiatry·2026
Same author

A real-world pharmacovigilance study of romidepsin based on FDA adverse event reporting system database.

Frontiers in oncology·2026
Same author

Duality of Bacteroides cross-feeding networks in health and disease.

Pharmacological research·2026
Same author

Development and Validation of a Novel Clinical Prediction Model for Postherpetic Neuralgia: Integrating Inflammatory and Coagulation Biomarkers.

Pain physician·2026
Same author

Senescent BMSC-Derived Thbs1 Drives Inflammaging and Impairs Bone Regeneration by Suppressing PINK1/Parkin-Mediated Mitophagy in Macrophages.

Aging cell·2026

Related Experiment Video

Updated: Jun 24, 2026

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior
07:09

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

Published on: November 14, 2018

10.8K

'Disengage AND Integrate': Personalized Causal Network for Gaze Estimation.

Yi Tian, Xiyun Wang, Sihui Zhang

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |June 6, 2025
    PubMed
    Summary

    This study introduces a new Personalized Causal Network (PCNet) for more accurate gaze estimation. PCNet effectively handles user-specific information, improving model performance on new, unseen users.

    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

    587
    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
    07:12

    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

    Published on: April 11, 2025

    577

    Related Experiment Videos

    Last Updated: Jun 24, 2026

    Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior
    07:09

    Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

    Published on: November 14, 2018

    10.8K
    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

    587
    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
    07:12

    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

    Published on: April 11, 2025

    577

    Area of Science:

    • Computer Vision
    • Machine Learning
    • Human-Computer Interaction

    Background:

    • Gaze estimation predicts viewing direction from images, crucial for HCI.
    • Existing models struggle with generalization to new users due to personalization challenges.
    • Current methods inadequately disentangle or integrate subject-specific information, limiting performance.

    Purpose of the Study:

    • To propose a novel approach, 'Disengage AND Integrate', for effectively handling personalized information in gaze estimation.
    • To introduce the Personalized Causal Network (PCNet) for robust and generalizable gaze estimation.
    • To enhance model adaptability to unseen users by refining the processing of personalized data.

    Main Methods:

    • Developed a two-branch framework: Subject-Deconfounded Appearance Sub-network (SdeANet) and Prototypical Personalization Sub-network (ProPNet).
    • SdeANet uses causal intervention to extract subject-invariant features, disentangling gaze from personal identity.
    • ProPNet learns user-specific representations using a prototype-based identification task.
    • Employed a hybrid episodic training paradigm to improve adaptability to new users.

    Main Results:

    • PCNet demonstrated significant effectiveness in generalizable gaze estimation across challenging datasets.
    • The proposed 'Disengage AND Integrate' perspective successfully addressed limitations of prior personalization methods.
    • Experiments confirmed improved performance in both within-domain and cross-domain gaze estimation tasks.

    Conclusions:

    • The Personalized Causal Network (PCNet) offers a rigorous and effective solution for generalizable gaze estimation.
    • The 'Disengage AND Integrate' strategy provides a principled way to manage personalized information.
    • PCNet shows strong potential for real-world applications requiring robust gaze tracking across diverse users.