Gaze Tracking and Assistive Technology

Passive identification of subjective preferences towards individual items using eye-tracking in a virtual reality environment

This study uses eye-tracking in VR to identify subjective preferences and emotional valence of objects, finding that gaze metrics correlate with preference and valence rankings.

Web-based eye-tracking for remote cognitive assessments: The anti-saccade task as a case study

This paper presents a web-based eye-tracking prototype for remote cognitive assessments, demonstrating its functionality and limitations using the anti-saccade task.

Quantitative comparison of a mobile, tablet-based and two stationary, video-based eye-trackers

This study compares three eye-trackers, finding differences in performance metrics like saccade latency and gain between the TOM-rm and EL, and noting the TOM-rs matches the EL in high-resolution data.

Continuous Measures of Decision-Difficulty Captured Remotely: II. Webcam eye-tracking reveals early decision processing

This paper uses webcam eye-tracking to measure decision difficulty in binary choice tasks, finding that harder choices involve more eye dwells and longer final dwells.

High-resolution eye-tracking via digital imaging of Purkinje reflections

This paper describes a digital DPI system for high-resolution eye-tracking with sub-arcminute resolution and 1 Khz sampling, demonstrating its effectiveness on artificial and human eyes.

Quotidian Profile of Vergence Angle in Ambulatory Subjects Monitored with Wearable Eye Tracking Glasses

This study evaluates wearable eye tracking glasses for measuring vergence angle in ambulatory subjects, finding they provide useful data despite some accuracy limitations in real-world settings.

Generating accurate 3D gaze vectors using synchronized eye tracking and motion capture

This study develops a method to generate accurate 3D gaze vectors by combining eye tracking and motion capture, finding that spherical coordinates and binocular data yield the best results.

High-speed MRI recordings of eyeball lifting, retraction and compression during blinks

This study uses high-speed MRI to analyze eye movements during blinks, revealing unexpected lifting, retraction, and compression of the eyeball.

Definition, modeling and detection of saccades in the face of post-saccadic oscillations

This paper defines, models, and detects saccades while accounting for post-saccadic oscillations using biophysical models and novel algorithms.

MEYE: Web-app for translational and real-time pupillometry

MEYE is a web app using a Convolutional Neural Network to perform real-time pupillometry in mice and humans, offering a simple and accessible tool for non-specialists.

Eye-tracking for low vision with virtual reality (VR): testing status quo usability of the HTC Vive Pro Eye

This study evaluates the HTC Vive Pro Eye's usability for simulating visual loss and visual field testing in VR, finding latency issues and limitations in head motion handling.

A model of the appearance of the moving human eye

This paper presents a physically accurate model of the human eye's appearance during movement, enabling the estimation of eye pose and biometric parameters from images.

Synchronized eye movements predict test scores in online video education

This paper shows that synchronized eye movements during online video education predict individual test scores and replicates across different video styles and learning scenarios.

MR-based camera-less eye tracking using deep neural networks

This paper develops DeepMReye, a deep learning model that decodes gaze position from MR signals for camera-less eye tracking in fMRI studies.

New Measures of Visual Scanning Efficiency and Cognitive Effort

The paper introduces new metrics for visual scanning efficiency and cognitive effort using eye tracking data in virtual driving tasks.

REMoDNaV: Robust Eye-Movement Classification for Dynamic Stimulation

This paper introduces an eye-movement classification algorithm that performs well on both static and dynamic stimuli, including challenging conditions like MRI environments.

EyeLoop: An open-source, high-speed eye-tracker designed for dynamic experiments

EyeLoop is an open-source eye-tracking system enabling dynamic experiments with low-cost hardware, supporting multiple species and closed-loop applications.

Modeling pupil responses to rapid sequential events

This paper develops and evaluates a GLM pipeline to estimate pupillary responses to rapid sequential events, finding that individualized models and non-zero latencies improve accuracy.

An adaptive algorithm for fast and reliable online saccade detection

This paper introduces an adaptive velocity-based algorithm for online saccade detection that improves speed and accuracy compared to existing methods.

Reliability and correlates of intra-individual variability in the oculomotor system

The paper assesses the intra-individual reliability of oculomotor measures and finds they are reliable over time and conditions but not correlated with self-reported ADHD traits.

A new comprehensive Eye-Tracking Test Battery concurrently evaluating the Pupil Labs Glasses and the EyeLink 1000

This paper develops an eye-tracking test battery to evaluate multiple parameters of two eye-trackers, finding the EyeLink 1000 outperforms Pupil Labs glasses in accuracy, fixations, and temporal stability.

Evaluating fMRI-Based Estimation of Eye Gaze during Naturalistic Viewing

This paper validates a method to estimate eye gaze from fMRI during naturalistic viewing and identifies head motion as a key factor affecting its accuracy.

Human-level saccade detection performance using deep neural networks

This paper develops a CNN that detects saccades with human-level accuracy, outperforming existing methods and aiding neurophysiological research.

Wearable Eye-tracking for Research: Automated dynamic gaze mapping and accuracy/precision comparisons across devices

An automated pipeline maps head-mounted gaze onto a fixed 2D stimulus without tethering participants, plus a task built to compare calibration accuracy and precision across 3 commercial headsets.