Mining attention distribution paradigm: Discover gaze patterns and their association rules behind the visual image-Reference-Cited by-同舟云学术

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Mining attention distribution paradigm: Discover gaze patterns and their association rules behind the visual image

Published:2023-03 Issue: Volume:230 Page:107330
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Yu Weiwei,Zhao Feng,Ren Zhijun,Jin Dian,Yang Xinliang,Zhang Xiaokun

Funder

Ministry of Education of the People's Republic of China

Higher Education Discipline Innovation Project

Key Research and Development Projects of Shaanxi Province

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference41 articles.

1. Attentional tunneling and task management in synthetic vision displays;Wickens;Int. J. Aviat. Psychol.,2009

2. Understanding visual attention to face emotions in social anxiety using hidden Markov models;Chan;Cogn. Emot.,2020

3. How reliably do eye parameters indicate internal versus external attentional focus?;Annerer-Walcher;Cogn. Sci.,2021

4. Reliability and validity of DS-ADHD: a decision support system on attention deficit hyperactivity disorders;Chu;Comput. Methods Programs Biomed.,2017

5. Attention deficit and hyperactivity disorder disrupts selective mechanisms of action;Coubard;Clin. Neurophysiol.,2022

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1. GAFUSE-Net: A Low Resolution Gaze Estimation Method Based on the Enhancement of Gaze-Relevant Features;IEEE Access;2024

2. Covid 19 diagnosis systems based on convolutional neural network techniques;AIP Conference Proceedings;2024

3. FreeGaze: A Framework for 3D Gaze Estimation Using Appearance Cues from a Facial Video;Sensors;2023-12-04

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