Abstract In recent years, Virtual Reality (VR) has become a valuable tool in rehabilitation
and sports training applications. New technologies offer opportunities to combine various …

Deep learning has bolstered gaze estimation techniques, but real-world deployment has
been impeded by inadequate training datasets. This problem is exacerbated by both …

We present a deep learning method for accurately localizing the center of a single corneal
reflection (CR) in an eye image. Unlike previous approaches, we use a convolutional neural …

The advent of foundation models signals a new era in artificial intelligence. The Segment
Anything Model (SAM) is the first foundation model for image segmentation. In this study, we …

Deep learning has shown promise for gaze estimation in Virtual Reality (VR) and other head-
mounted applications, but such models are hard to train due to lack of available data. Here …

Aiming at the problem of feature point tracking loss caused by large head rotation and facial
occlusion in doctors, this paper designs a head-position-tracking system based on …

In this paper a novel eye-tracking device designed which uses tiny CCD cameras to capture
the eye image from the screen with the help of a video capture card. In the head gesture …

Eye gaze estimation has lots of potentials in human-computer interaction. A popular scheme
for eye gaze estimation in literature uses some infrared (IR) lights to illuminate the eyes …

Deep learning-based appearance gaze estimation methods are gaining popularity due to
their high accuracy and fewer constraints from the environment. However, existing high …

This paper presents a novel Contrastive Self-Attention Convolutional Neural Network (CSA-
CNN) model with enhanced Difficulty Aware (DA) loss function to improve the segmentation …