ETRA

Recognizing eye movements is important for gaze behavior understanding like in human communication analysis (human-human or robot interactions) or for diagnosis (medical, reading impairments). In this paper, we address this task using remote RGB-D ...

Head-mounted displays offer full control over lighting conditions. When equipped with eye tracking technology, they are well suited for experiments investigating pupil dilation in response to cognitive tasks, emotional stimuli, and motor task complexity,...

End-to-end behavioral cloning trained by human demonstration is now a popular approach for vision-based autonomous driving. A deep neural network maps drive-view images directly to steering commands. However, the images contain much task-irrelevant ...

Gradient based dark pupil tracking [Timm and Barth 2011] is a simple and robust algorithm for pupil center estimation. The algorithm's time complexity of O(n⁴) can be tackled by applying a two-stage process (coarse center estimation followed by a ...

In this paper, we propose a calibration-free gaze-based text entry system that uses smooth pursuit eye movements. We report on our implementation, which improves over prior work on smooth pursuit text entry by 1) eliminating the need of calibration ...

Cognitive biases, such as the bandwagon effect, occur when a participant places a disproportionate emphasis on external information when making decisions under uncertainty. These effects are challenging for humans to overcome - even when they are ...

Mixed reality headsets are being designed with integrated eye trackers: cameras that image the user's eye to infer gaze location and pupil diameter. While the intent is to improve the quality of experience, built-in eye trackers create a security ...

The paper partially replicates and extends a previous study by Busjahn et al. [4] on the factors influencing dwell time during source code reading, where source code element type and frequency of gaze visits are studied as factors. Unlike the previous ...

Scanpath classification can offer insight into the visual strategies of groups such as experts and novices. We propose to use random ferns in combination with saccade angle successions to compare scanpaths. One advantage of our method is that it does ...

Deep learning is a promising technique for real-world pupil detection. However, the small amount of available accurately-annotated data poses a challenge when training such networks. Here, we utilize non-challenging eye videos where algorithmic ...

Although smartphones are widely used in everyday life, studies of viewing behavior mainly employ desktop computers. This study examines whether closely spaced target locations on a smartphone can be decoded from gaze. Subjects wore a head-mounted eye ...

Understanding differences and similarities between scanpaths has been one of the primary goals for eye tracking research. Sequences of areas of interest mapped from fixations are a major focus for many analytic techniques since these sequences directly ...

Observable reading behavior, the act of moving the eyes over lines of text, is highly stereotyped among the users of a language, and this has led to the development of reading detectors-methods that input windows of sequential fixations and output ...

In corneal imaging methods, it is essential to use a 3D eyeball model for generating an undistorted image. Thus, the relationship between the eye and eye camera is fixed by using a head-mounted device. Remote corneal imaging has several potential ...

Availability of large scale tagged datasets is a must in the field of deep learning applied to the eye tracking challenge. In this paper, the potential of Supervised-Descent-Method (SDM) as a semiautomatic labelling tool for eye tracking images is ...

In this paper we present the TobiiGlassesPySuite, an open-source suite we implemented for using the Tobii Pro Glasses 2 wearable eye-tracker in custom eye-tracking studies. We provide a platform-independent solution for controlling the device and for ...

Both musicians and programmers have expectations when they read music scores or source code. The goal of these studies is to get an insight into what will happen when these expectations are violated in familiar tasks. In music reading study, we explored ...

Fatigue detection, monitoring and management is important and needs to be accommodated in the busy lifestyles that many people have these days. It may have an impact on the physical as well as the emotional health of the individuals. Detection of ...

Eye tracking is rapidly becoming popular in consumer technology, including virtual and augmented reality. Eye trackers commonly provide an estimate of gaze location, and pupil diameter. Pupil diameter is useful for interactive systems, as it provides ...

Gaze may be a good alternative input modality for people with limited hand mobility. This accessible control based on eye tracking can be implemented into telepresence robots, which are widely used to promote remote social interaction and providing the ...

This PhD thesis aims to contribute to our knowledge about how we experience paintings and more specifically, about how visual exploration, cognitive categorization and emotive evaluation contribute to the aesthetic dimension. [Schaeffer 2015; Leder et ...

We investigate the mechanisms of attentional orienting in a 360-degree virtual environments. Through the use of Posner's paradigm, we study the effects of different attentional guidance techniques designed to improve information processing. The most ...

Current video-based eye trackers fail to acquire a high signal-to-noise (SNR) ratio which is crucial for specific applications like interactive systems, event detection, the study of various eye movements, and most importantly estimating the gaze ...

Benign Paroxysmal Positional Vertigo (BPPV) is the most common cause of vertigo. It can be diagnosed and treated with simple maneuvers done by vestibular experts. However, there is a high rate of misdiagnosis that results in high medical costs from ...

Driven by significant investments from the gaming, film, advertising, and customer service industries among others, efforts across many different fields are converging to create realistic representations of humans that look like (computer graphics), ...

The research goal is to explore the relationship between eye tracking measures and a tactile version of the n-back task. The n-back task is often used to evoke cognitive load, however this is the first study that incorporates tactile stimulus as input. ...

The research proposes four hypotheses that focus on deriving helpful insights from eye patterns, including hidden truths concerning programmer expertise, task context and difficulty. We present results from a study performed in a classroom setting with ...

Current eye-tracking techniques rely primarily on video-based tracking of components of the anterior surfaces of the eye. However, these trackers have several limitations. Their limited resolution precludes study of small fixational eye motion. ...

Research during the last decades has demonstrated that eye tracking methodology is an advantageous tool to study reading. A substantial amount of eye movement research has resulted in improved understanding of the reading process in skilled adult ...

We present an experimenter platform for designing and evaluating user-adaptive support in information visualizations. Specifically, this platform leverages eye-tracking data in real time to deliver adaptive support in visualizations based on the user's ...