This guide describes best practices in using eye tracking technology for research in a variety
of disciplines. A basic outline of the anatomy and physiology of the eyes and of eye …

Eye tracking is the process of measuring where one is looking (point of gaze) or the motion
of an eye relative to the head. Researchers have developed different algorithms and …

When deep neural network (DNN) was first introduced to the medical image analysis
community, researchers were impressed by its performance. However, it is evident now that …

Food sensory evaluation mainly includes explicit and implicit measurement methods. Implicit
measures of consumer perception are gaining significant attention in food sensory and …

Saccadic scanpath, a data representation of human visual behavior, has received broad
interest in multiple domains. Scanpath is a complex eye-tracking data modality that includes …

Gaze tracking is increasingly becoming an essential component in Augmented and Virtual
Reality. Modern gaze tracking algorithms are heavyweight; they operate at most 5 Hz on …

Recent studies suggest that deep learning systems can now achieve performance on par
with medical experts in diagnosis of disease. A prime example is in the field of …

Eye-tracking represents a sensitive, direct measure of gaze allocation and goal-directed
looking behaviors that correspond to visual information processing. Clear definitions and …

Objective (1) To assess mental workloads of intensive care unit (ICU) nurses in 12-hour
working shifts (days and nights) using eye movement data;(2) to explore the impact of stress …

Machine learning (ML) has revolutionized medical image-based diagnostics. In this review,
we cover a rapidly emerging field that can be potentially significantly impacted by ML–eye …