Best practices in eye tracking research

BT Carter, SG Luke - International Journal of Psychophysiology, 2020 - Elsevier
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 …

Perceptual image quality assessment: a survey

G Zhai, X Min - Science China Information Sciences, 2020 - Springer
Perceptual quality assessment plays a vital role in the visual communication systems owing
to the existence of quality degradations introduced in various stages of visual signal …

Sensory perception in autism

CE Robertson, S Baron-Cohen - Nature Reviews Neuroscience, 2017 - nature.com
Autism is a complex neurodevelopmental condition, and little is known about its
neurobiology. Much of autism research has focused on the social, communication and …

Machine learning (ML) for the diagnosis of autism spectrum disorder (ASD) using brain imaging

HS Nogay, H Adeli - Reviews in the Neurosciences, 2020 - degruyter.com
Autism spectrum disorder (ASD) is a neurodevelopmental incurable disorder with a long
diagnostic period encountered in the early years of life. If diagnosed early, the negative …

Driver lane change intention inference for intelligent vehicles: Framework, survey, and challenges

Y Xing, C Lv, H Wang, H Wang, Y Ai… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Intelligent vehicles and advanced driver assistance systems (ADAS) need to have proper
awareness of the traffic context, as well as the driver status since ADAS share the vehicle …

Computer vision in autism spectrum disorder research: a systematic review of published studies from 2009 to 2019

RAJ De Belen, T Bednarz, A Sowmya… - Translational …, 2020 - nature.com
The current state of computer vision methods applied to autism spectrum disorder (ASD)
research has not been well established. Increasing evidence suggests that computer vision …

Infant viewing of social scenes is under genetic control and is atypical in autism

JN Constantino, S Kennon-McGill, C Weichselbaum… - Nature, 2017 - nature.com
Long before infants reach, crawl or walk, they explore the world by looking: they look to learn
and to engage, giving preferential attention to social stimuli, including faces, face-like stimuli …

Screening for dyslexia using eye tracking during reading

M Nilsson Benfatto, G Öqvist Seimyr, J Ygge, T Pansell… - PloS one, 2016 - journals.plos.org
Dyslexia is a neurodevelopmental reading disability estimated to affect 5–10% of the
population. While there is yet no full understanding of the cause of dyslexia, or agreement …

Saliency prediction in the deep learning era: Successes and limitations

A Borji - IEEE transactions on pattern analysis and machine …, 2019 - ieeexplore.ieee.org
Visual saliency models have enjoyed a big leap in performance in recent years, thanks to
advances in deep learning and large scale annotated data. Despite enormous effort and …

Application of eye tracking in medicine: A survey, research issues and challenges

K Harezlak, P Kasprowski - Computerized Medical Imaging and Graphics, 2018 - Elsevier
The performance and quality of medical procedures and treatments are inextricably linked to
technological development. The application of more advanced techniques provides the …