Reliable systems for automatic estimation of the driver's gaze are crucial for reducing the
number of traffic fatalities and for many emerging research areas aimed at developing …

In this paper, we present a novel, unobtrusive calibration method that leverages the
association between eye-movement and text to calibrate eye-tracking devices during natural …

This chapter aims to present the past and current technologies that enable estimation of a
person's gaze point. The topic is quite broad, as many techniques may be taken into …

The main objective of this research was to propose a smart technology to record and
analyse the attention of operators of transportation devices where human–machine …

Most well-established eye-tracking research paradigms adopt remote systems, which
typically feature regular flat screens of limited width. Limitations of current eye-tracking …

Pupil detection is an indispensable step in eye-tracking, however, there are lots of difficulties
in locating the pupil under low-resolution environments. This study proposes a self-training …

We present a method to calibrate an eye-tracking system based on cockpit interactions of a
pilot. Many studies show the feasibility of implicit calibration with specific interactions such …

We introduce a method for calibrating an eye-tracking system using pilot interactions in a
cockpit setting. While previous studies have shown the feasibility of implicit calibration with …

Eye tracking data is typically compromised by a systematic error that is commonly referred to
as drift. In reading research, most manual and automated approaches to dealing with drift …