Feature-based attentional influences on the accommodation response

1000 Pupil Segmentations in a Second using Haar Like Features and Statistical Learning

“…The plethora of image based eye tracking [6,18] applications has continued to rise in recent years. The most important areas of application are currently driver monitoring [2], virtual reality [62], augmented reality [66], medicine [1,7,8], market research [62,68], remote support [69], human computer interaction [10,58], supportive explanation models for computer vision models [78], and many more. Of course, not only pupil detection is important for this, but also scan path analysis [11,15], eye movement classification [13,14,23,28,35,36,47], visualizations [30,32,34,54] and validations of the approaches and models used [24,37].…”

TEyeD: Over 20 million real-world eye images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types

“…Furthermore, in scenarios where it is important to identify the expertise of a person (e.g., surgery, image interpretation, etc.) the gaze signal can be used together with interaction patterns to predict the expertise of a subject in a given task [2,17,18]. Gaze behavior can also be used to diagnose a variety of diseases [88], such as schizophrenia [65], autism [9], Alzheimer's disease [88], glaucoma [68], and many more.…”

A Multimodal Eye Movement Dataset and a Multimodal Eye Movement Segmentation Analysis

“…The application elds of an eye tracker are wide-ranging and include expertise determination [4], human computer interaction [11], human robot interaction [3], improved remote assistance [71], visualizations [33,35,55], facilitating the work of surgeons [2,5,7,8,43], and much more. Due to this variety of possible applications, eye trackers must perform reliably under a wide range of conditions, which creates a great many challenges in image processing [10] but also in eye movement classi cation [37].…”