Search Results

The ability of gaze estimation models to generalize is often significantly hindered by various factors unrelated to gaze, especially when the training dataset is limited. Current strategies aim to address this challenge through different domain ...

Appearance-based gaze tracking algorithms, which compute gaze direction from user face images, are an attractive alternative to infrared-based external devices. Their accuracy has greatly benefited by using powerful machine-learning techniques. The ...

We propose MAS TUNK, a novel data collection framework for eye-tracking, designed to enhance the future development of automatic proctoring systems. Confronting the constraints of traditional eye-tracking methods reliant on specialized hardware, MAS ...

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 of pupils in eye images. The incorporation of transformer-style self-...

Remote assistance by users is a common means in current robot applications, which can improve the efficiency of transfer tasks. However, the current mainstream methods are costly, relying on auxiliary equipment, and result in a significant workload for ...

With the escalated demand of human-machine interfaces for intelligent systems, development of gaze controlled system have become a necessity. Gaze, being the non-intrusive form of human interaction, is one of the best suited approach. Appearance ...

Recently, there has been an increasing interest in the adoption of socially assistive robots to support and alleviate the workload of clinical personnel in hospital settings. This work proposes the adoption of a socially assistive robot in ...

We present SCENE-pathy, a dataset and a set of baselines to study the visual selective attention (VSA) of people towards the 3D scene in which they are located. In practice, VSA allows to discover which parts of the scene are most attractive for ...

As gaze estimation research continues, the study can be classified into a 3D-based approach that estimates gaze orientation as an angle and a 2D-based approach that calculates the gaze position on a plane. That is, the 3D-based approach yields yaw ...

Over the past several years, a number of data-driven gaze tracking algorithms have been proposed, which have been shown to outperform classic model-based methods in terms of gaze direction accuracy. These algorithms leverage the recent development of ...

Mobile devices have evolved to be a crucial part of our everyday lives. However, they are subject to different types of user-centered attacks such as shoulder surfing attacks. Previous work focused on notifying the user with a potential shoulder surfer ...

We present methods for extracting corneal images and estimating pupil centers continuously and reliably using head worn glasses that consists of two eye cameras. An existing CNN was modified for detecting pupils in IR and RGB images, and stereo vision ...

Pursuit eye movements have become widely popular because they enable spontaneous eye-based interaction. However, existing methods to detect smooth pursuits require special-purpose eye trackers. We propose the first method to detect pursuits using a ...

The widespread use of smartphones has brought great convenience to our daily lives, while at the same time we have been increasingly exposed to security threats. Keystroke security is an essential element in user privacy protection. In this paper, we ...

In this paper, we introduce GazeLabel: a cost-free data labeling system with public displays (at bus stops, metro stations, shopping malls, etc.) using eye-tracking technology. With built-in cameras, the proposed system captures pedestrians' gaze points ...

We introduce hEYEbrid, a calibration-free method for spontaneous and long-term eye gaze tracking, with competitive gaze estimation. It is based on a hybrid concept that combines infrared eye images with corneal imaging. For this, two eye cameras are ...

This paper proposes a method to explore the navigation of audience by estimating gaze points and labeling them to the objects of video or web content. The cluster based gaze estimation and statistics based labeling method are proposed to support the ...

This paper describes a flexible method for synchronizing electroencephalography (EEG) and eye tracking (ET) recordings to the presentation of visual stimuli. The method consists of embedding a synchronization signal in the visual stimuli, and recording ...

Many eye gaze systems use special infrared (IR) illuminator and choose IR-sensitive CCD camera to estimate eye gaze. The IR based system has the limitation of inaccurate gaze detection in ambient natural light and the number of IR illuminator and their ...