Results 261 to 270 of about 654,910 (337)

The fundamentals of eye tracking part 6: Working with areas of interest. [PDF]

Behav Res Methods
Hooge ITC, Nyström M, Niehorster DC, Andersson R, Foulsham T, Nuthmann A, Hessels RS.   +6 more
europepmc   +1 more source

Flexible use of quorum and numerosity principles in evaluation of social and non-social cues in group contexts. [PDF]

Cogn Res Princ Implic
Savoie J, Capozzi F, Ristic J.
europepmc   +1 more source

Isolated Paramedian Pontine Reticular Formation (PPRF) syndrome in AQP4 antibody-positive neuromyelitis optica spectrum disorder: a case report. [PDF]

BMC Neurol
Terahara M, Hobara T, Higuchi Y, Hirakata S, Noguchi Y, Nozuma S, Takashima H.   +6 more
europepmc   +1 more source

Two distinct attentional priorities guide exploratory and exploitative gaze. [PDF]

iScience
Wen X, Hassani AS, Neumann A, Tiesinga P, Womelsdorf T.   +4 more
europepmc   +1 more source

Polarizer-assisted pupillometry through closed eyelids, overcoming pupil position dependence. [PDF]

J Biomed Opt
Tepper M, Ben Barak-Dror O, Haggiag D, Gannot I, Nir Y.   +4 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Gaze Estimation by Exploring Two-Eye Asymmetry

IEEE Transactions on Image Processing, 2020
Eye gaze estimation is increasingly demanded by recent intelligent systems to facilitate a range of interactive applications. Unfortunately, learning the highly complicated regression from a single eye image to the gaze direction is not trivial.
Yihua Cheng, Xucong Zhang, Feng Lu
exaly   +2 more sources

The Eye in Extended Reality: A Survey on Gaze Interaction and Eye Tracking in Head-worn Extended Reality

ACM Computing Surveys, 2022
With innovations in the field of gaze and eye tracking, a new concentration of research in the area of gaze-tracked systems and user interfaces has formed in the field of Extended Reality (XR).
Alexander Plopski, Teresa Hirzle, Nahal Norouzi, Long Qian, G. Bruder, T. Langlotz   +5 more
semanticscholar   +1 more source

Contrastive Regression for Domain Adaptation on Gaze Estimation

Computer Vision and Pattern Recognition, 2022
Appearance-based Gaze Estimation leverages deep neural networks to regress the gaze direction from monocular images and achieve impressive performance. However, its success depends on expensive and cumbersome annotation capture.
Yaoming Wang, Yangzhou Jiang, Jin Li, Bingbing Ni, Wenrui Dai, Chenglin Li, H. Xiong, Teng Li   +7 more
semanticscholar   +1 more source