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

Mitigating the Low Prevalence Effect: Role of Removing Explicit "Target-Absent" Responses in Visual Search.

Quarterly journal of experimental psychology (2006)·2026
Same author

Trust Emerges From Shared Attention: Behavioural and Neural Evidence From Dual EEG Hyperscanning.

Human brain mapping·2026
Same author

Task-constrained self-initiated attention shifts are indexed by frontal-midline theta ramping.

Frontiers in human neuroscience·2026
Same author

Can DNN models simulate appearance variations of #TheDress?

i-Perception·2025
Same author

Cross-modal congruency between haptic and visual objects affects involuntary shifts in spatial attention.

Perception·2025
Same author

Individual variability in steady-state VEP responses for hues sweeping around cardinal color axes: Clues to cortical color coding?

Journal of vision·2025
Same journal

Editorial for VSI Amblyopia: Advances in Amblyopia Research.

Vision research·2026
Same journal

Computational and mathematical models in vision: Quantitative approaches to understanding visual perception.

Vision research·2026
Same journal

Complex interactions between lightness, chroma, and hue in color ensemble perception.

Vision research·2026
Same journal

Driving with autism spectrum disorder: Exploring the impact of tactile hazard warnings on gaze behavior and hazard responses.

Vision research·2026
Same journal

Early visual processing in adults with ADHD: evidence from contrast sensitivity, spatial integration, and external noise.

Vision research·2026
Same journal

Pupil reflexes generate the peripheral drift illusion due to ON/OFF motion responses.

Vision research·2026
See all related articles

Related Experiment Video

Updated: Mar 31, 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

11.7K

Saliency-based gaze prediction based on head direction.

Ryoichi Nakashima1, Yu Fang1, Yasuhiro Hatori1

  • 1Tohoku University, and CREST, Japan Science and Technology Agency, Japan.

Vision Research
|October 18, 2015
PubMed
Summary
This summary is machine-generated.

Predicting where people look is challenging. This study introduces a head direction-based gaze prediction model that significantly improves accuracy for visual attention and real-world applications.

Keywords:
Eye–head coordinationGaze predictionHead directionSaliency map

More Related Videos

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

1.2K
Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
09:27

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

Published on: October 13, 2018

10.9K

Related Experiment Videos

Last Updated: Mar 31, 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

11.7K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

1.2K
Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
09:27

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

Published on: October 13, 2018

10.9K

Area of Science:

  • Cognitive Science
  • Computer Vision
  • Neuroscience

Background:

  • Accurate gaze prediction models are crucial for understanding visual attention.
  • Current saliency-based models struggle with general conditions.
  • Limitations exist in predicting human gaze behavior effectively.

Purpose of the Study:

  • To develop an improved gaze prediction model using head direction information.
  • To enhance existing saliency-based visual attention models.
  • To assess the impact of head direction on gaze prediction accuracy.

Main Methods:

  • Utilized empirical data on eye and head directions during natural scene viewing.
  • Estimated probability distributions of eye position based on head direction.
  • Integrated head direction information with saliency maps for gaze prediction.

Main Results:

  • Head direction information demonstrably improved gaze prediction accuracy.
  • No significant difference in accuracy was found with or without static eye-head coordination.
  • The proposed model shows utility in dynamic, real-world scenarios like walking.

Conclusions:

  • Head direction is a valuable predictor of gaze location.
  • The proposed method offers a practical enhancement for various gaze prediction models.
  • This approach has broad applicability in daily activities and research.