Past clinical research using eye tracking with patients who have known concussions shown deficits in eye-target synchronization, smooth pursuit eye movements, velocity error and positioning errors [1,2]. Clinical assessments of suspected brain injuries include gross assessments of oculomotor abilities (such as the Vestibular Ocular Motor Screening (VOMS) [3]. However, quantitative, and highly s...

The clinical vision examination routinely includes an evaluation of ocular motor function. In a number of diverse situations, thorough objective recording of eye movements is warranted, using any of a variety of eye-tracking technologies that are available currently to clinicians. Here we review the clinical uses of eye tracking, with both an historical and contemporary view. We also consider s...

− Autostereoscopic display systems can provide users a natural 3-D visualization environment by projecting stereo video onto the user's eyes. Eye position localization is a central module in this kind of display system when users are allowed to move freely. This paper presents robust 3-D eye tracking techniques that can provide accurate eye positions in real time. Technical batteries comprise: ...

Human face, the most active and healthy part of human body and Eyes are one of the most complex features of it. It may be used to reduce some of their critical life complexities. Eye blinking is one of the prominent areas to solve many real world problems. The process of blink detection consists of two phases. These are eye tracking followed by detection of blink. The work that has been carried...

Datasets of images annotated with eye tracking data constitute important ground truth for the development of saliency models, which have applications in many areas of electronic imaging. While comparisons and reviews of saliency models abound, similar comparisons among the eye tracking databases themselves are rare. In an earlier paper, we reviewed the content and purpose of over two dozen data...

To efficiently deploy eye-tracking within 3D graphics applications, we present a new probabilistic method that predicts the patterns of user’s eye fixations in animated 3D scenes from noisy eye-tracker data. The proposed method utilises both the eye-tracker data and the known information about the 3D scene to improve the accuracy, robustness and stability. Eye-tracking can thus be used, for exa...

1. When a visual target is moved by the subject's hand (self-moved target tracking), smooth pursuit (SP) characteristics differ from eye-alone tracking: SP latency is shorter and maximal eye velocity is higher in self-moved target tracking than in eye-alone tracking. The aim of this study was to determine which signals (motor command and/or proprioception) generated during arm motion are respon...

Analysis and visualization of eye movement data from eye tracking studies typically take into account gazes, fixations, and saccades of both eyes filtered and fused into a combined eye. Although this is a valid strategy, we argue that it is also worth investigating low-level eye tracking data prior to high-level analysis, because today’s eye tracking systems measure and infer data from both eye...

Eye tracking studies have become one means to evaluate user behavior. For example, eye tracking is used in marketing research, psychology, human-computer interaction, or visualization. Analyzing eye movement data can help to find where on a stimulus and at what areas of a stimulus a participant focused on. Eye tracking can be used besides classical benchmark metrics such as completion times and...