no code implementations • 28 Mar 2024 • Kevin Barkevich, Reynold Bailey, Gabriel J. Diaz
Algorithms for the estimation of gaze direction from mobile and video-based eye trackers typically involve tracking a feature of the eye that moves through the eye camera image in a way that covaries with the shifting gaze direction, such as the center or boundaries of the pupil.
no code implementations • 23 Mar 2024 • Viet Dung Nguyen, Reynold Bailey, Gabriel J. Diaz, Chengyi Ma, Alexander Fix, Alexander Ororbia
In remedy, we use dimensionality-reduction techniques to measure the overlap between the target eye images and synthetic training data, and to prune the training dataset in a manner that maximizes distribution overlap.
no code implementations • 16 Nov 2022 • Zhizhuo Yang, Gabriel J. Diaz, Brett R. Fajen, Reynold Bailey, Alexander Ororbia
The active inference framework (AIF) is a promising new computational framework grounded in contemporary neuroscience that can produce human-like behavior through reward-based learning.
1 code implementation • 4 May 2022 • Rakshit S. Kothari, Reynold J. Bailey, Christopher Kanan, Jeff B. Pelz, Gabriel J. Diaz
Previous work has shown that convolutional networks excel at extracting gaze features despite the presence of such artifacts.
3 code implementations • 19 Jul 2020 • Rakshit S. Kothari, Aayush K. Chaudhary, Reynold J. Bailey, Jeff B. Pelz, Gabriel J. Diaz
Ellipse fitting, an essential component in pupil or iris tracking based video oculography, is performed on previously segmented eye parts generated using various computer vision techniques.
no code implementations • 5 Jun 2020 • Nitinraj Nair, Rakshit Kothari, Aayush K. Chaudhary, Zhizhuo Yang, Gabriel J. Diaz, Jeff B. Pelz, Reynold J. Bailey
Deep neural networks for video-based eye tracking have demonstrated resilience to noisy environments, stray reflections, and low resolution.