Mar 15, 2021 · In this review article, we focus on using ML, IoT, and cloud computing with eye tracking techniques. A classification of different ML algorithms that use eye tracking data along with the research goal, as well as the strengths and limitations of the algorithms, are presented.

Aug 22, 2023 · In this study, we tackle critical challenges faced in remote eye tracking setups and systematically evaluate appearance-based deep learning methods of gaze tracking and blink detection.

Deep learning with convolutional neural networks (CNNs) has experienced tremendous growth in multiple healthcare applications and has been shown to have high accuracy in semantic segmentation of medical (e.g., radiology and pathology) images. ...

Jan 1, 2020 · Various models of deep neural networks that can be involved in the process of online gaze monitoring are reviewed. We introduce a new eye-tracking approach where the effectiveness of using a deep learning method is significantly increased.

We developed a deep learning-based solution as a prototype for this project. Specifically, we devel-oped a deep learning model to predict a user’s gaze position on the screen. We created our training data set using a commercially available eye-tracker to train the model.

Leveraging deep learning algorithms, specifically MobileNet, VGG19, DenseNet169, and a hybrid of MobileNet-VGG19, automated classifiers, that hold promise for enhancing diagnostic precision and effectiveness, was developed.

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.

Our general approach involves testing and reporting on the impact of several contemporary eye segmentation networks on the spatial accuracy, precision, and robustness to dropouts of the final gaze estimate, while other properties of the eye tracking pipeline remain unchanged.

Dec 11, 2024 · In order to make the application of eye tracking technology more convenient and improve its accuracy, this paper proposes an eye tracking method combining deep learning and object recognition algorithm.

Mar 28, 2024 · 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 …