Computational Intelligence and Neuroscience

Advances in Eye Tracking Technology: Theory, Algorithms, and Applications


Status
Published

Lead Editor

1Chu Hai College of Higher Education, Tsuen Wan, Hong Kong

2Shandong University, Shandong, China

3Universita degli Studi di Napoli "Parthenope", Napoli, Italy

4University of Rome "Sapienza", Rome, Italy

5Missouri University of Science and Technology, Rolla, USA


Advances in Eye Tracking Technology: Theory, Algorithms, and Applications

Description

The goal of eye tracking is to detect and measure the point of gaze (where one is looking) or the motion of an eye(s) relative to the head. The eye tracking data obtained by an eye tracker provide new opportunities and potentials in a broad range of applications including, for example, human computer interaction, computer simulation/virtual reality, neuroscience, medical, and cognitive-behavioral research. In recent years, eye tracking technology has been undergoing rapid development with improvements in the accuracy, stability, and sampling rates. A number of technologies and techniques are now available, including head-mounted, glass, table-mounted, and embedded systems and with these advances new opportunities and applications are emerging.

This special issue aims to bring together theoretical and practical perspectives in the area of eye tracking technology to present and discuss the latest technological developments and to inspire interaction and creation.

Potential topics include, but are not limited to:

  • New eye tracking and calibration algorithms
  • Eye tracking data analysis
  • Human computer interaction and eye control
  • Virtual reality
  • Neuroscience
  • Cognitive research
  • Saliency estimation and eye movement modeling
  • Behavior analysis
  • Ophthalmology
  • Usability testing
  • Education

Articles

  • Special Issue
  • - Volume 2016
  • - Article ID 7831469
  • - Editorial

Advances in Eye Tracking Technology: Theory, Algorithms, and Applications

Hong Fu | Ying Wei | ... | Hong Sheng
  • Special Issue
  • - Volume 2016
  • - Article ID 9354760
  • - Research Article

Designs and Algorithms to Map Eye Tracking Data with Dynamic Multielement Moving Objects

Ziho Kang | Saptarshi Mandal | ... | Sarah N. McClung
  • Special Issue
  • - Volume 2016
  • - Article ID 2381451
  • - Research Article

Learning to Model Task-Oriented Attention

Xiaochun Zou | Xinbo Zhao | ... | Yongjia Yang
  • Special Issue
  • - Volume 2016
  • - Article ID 8343842
  • - Research Article

Characterization of Visual Scanning Patterns in Air Traffic Control

Sarah N. McClung | Ziho Kang
  • Special Issue
  • - Volume 2016
  • - Article ID 9172506
  • - Research Article

EyeTribe Tracker Data Accuracy Evaluation and Its Interconnection with Hypothesis Software for Cartographic Purposes

Stanislav Popelka | Zdeněk Stachoň | ... | Jitka Doležalová
  • Special Issue
  • - Volume 2016
  • - Article ID 8680541
  • - Review Article

Low Cost Eye Tracking: The Current Panorama

Onur Ferhat | Fernando Vilariño
  • Special Issue
  • - Volume 2016
  • - Article ID 7496735
  • - Research Article

Learning-Based Visual Saliency Model for Detecting Diabetic Macular Edema in Retinal Image

Xiaochun Zou | Xinbo Zhao | ... | Na Li
  • Special Issue
  • - Volume 2015
  • - Article ID 653639
  • - Research Article

Real-Time Control of a Video Game Using Eye Movements and Two Temporal EEG Sensors

Abdelkader Nasreddine Belkacem | Supat Saetia | ... | Yasuharu Koike
Computational Intelligence and Neuroscience
 Journal metrics
Acceptance rate28%
Submission to final decision79 days
Acceptance to publication37 days
CiteScore4.700
Impact Factor2.284
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