Search Results for author:
Found 7 papers, 1 papers with code
Multimodal Modeling of Task-Mediated Confusion
In order to build more human-like cognitive agents, systems capable of detecting various human emotions must be designed to respond appropriately.
Using Deep Learning to Increase Eye-Tracking Robustness, Accuracy, and Precision in Virtual Reality
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.
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems
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.
A Neural Active Inference Model of Perceptual-Motor Learning
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.
RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking
Accurate eye segmentation can improve eye-gaze estimation and support interactive computing based on visual attention; however, existing eye segmentation methods suffer from issues such as person-dependent accuracy, lack of robustness, and an inability to be run in real-time.
Ranked #1 on
Semantic Segmentation
on OpenEDS
Gaze-in-wild: A dataset for studying eye and head coordination in everyday activities
Our approach was to collect a novel, naturalistic, and multimodal dataset of eye+head movements when subjects performed everyday tasks while wearing a mobile eye tracker equipped with an inertial measurement unit and a 3D stereo camera.
Differential Privacy for Eye-Tracking Data
As large eye-tracking datasets are created, data privacy is a pressing concern for the eye-tracking community.
