Background Eye tracking (ET) is a viable marker for the recognition of cognitive disorders.
We assessed the accuracy and clinical value of ET for the diagnosis of cognitive disorders in …

The seminal model by Laurent Itti and Cristoph Koch demonstrated that we can compute the
entire flow of visual processing from input to resulting fixations. Despite many replications …

The target detection based on electroencephalogram (EEG) signals is a new target
detection method. This method recognizes the target by decoding the specific neural …

Humans' ability to adapt and learn relies on reflecting on past performance. These
experiences form latent representations called internal states that induce movement …

For complex dynamic interactive tasks (such as aviating), operators need to continuously
extract information from areas of interest (AOIs) through eye movement to maintain high …

We constantly move our eyes to new information while inspecting a scene, but these
patterns of eye movements change based on the task and goals of the observer. Inhibition of …

Previous attempts to classify task from eye movement data have relied on model
architectures designed to emulate theoretically defined cognitive processes and/or data that …

We move our eyes roughly three times every second while searching complex scenes, but
covert attention helps to guide where we allocate those overt fixations. Covert attention may …

The human eye plays an important role in determining the state of mind amongst clinical
population. The Eye Tracking Technology, which uses Infrared Rays (IR) which stimulates …

Eye movements are a key part of increasing our understanding of human vision and the
oculomotor system as they are an excellent proxy for attention. It is for this reason studies …