Eye Tracking: Cognition, Computation and Challenges

Dear Colleagues,

Eye tracking is an important method of measuring a human’s eye movements in order to reflect their attentional behavior, and it has been considered by some researchers to provide an insight into the brain and mind. Eye tracking has been widely used for decades in many research communities, such as visual attention mechanisms, digital forensics, driving, gaming, and medicine. Despite the numerous achievements of eye tracking, however, the high cost and limited ability of eye tracking equipment and techniques make the eye tracking quite challenging.

Since machine learning (ML) techniques are effective in computer vision, they have attracted a lot of attention in recent years. Typical examples are the deep learning models such as deep convolutional neural networks, which have gained great success in many basic computer vision tasks, such as image classification and object detection. Due to the promising performances of the machine learning, it is also possible to extend these techniques to eye tracking.

The aim of this Special Issue is to invite authors to submit original manuscripts that explore deep learning related techniques/methodologies and their applications in eye tracking.

Prof. Dr. Zhili Zhou
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• machine learning
• information security
• digital forensics
• deep learning
• eye tracking