Gaze Tracking and Assistive Technology

eyeris: A flexible, extensible, and reproducible pupillometry preprocessing framework in R

eyeris provides a reproducible pupillometry preprocessing framework that enhances FAIR principles and open science practices in pupillometry research.

Pupil-DLC: an open-source deep learning pipeline for scalable, marker-less tracking of pupil dynamics across conscious and unconscious states

Pupil-DLC is a deep learning pipeline for tracking pupil dynamics in mice and humans, showing high accuracy across various conditions and states.

Systematic Classification Differences Across Eye-Movement Detection Algorithms

This paper introduces pEYES, a toolkit for evaluating eye-movement detection algorithms, showing that Engberts algorithm performs best while others show variability.

Mobile Eye Tracking in the Real World: Best Practices

This paper demonstrates a mobile eye-tracking study in an urban environment and provides best practices for naturalistic human behavior research.

OpenIrisDPI: An Open-Source Digital Dual Purkinje Image Eye Tracker for Visual Neuroscience

OpenIrisDPI is an open-source eye tracker that uses dual Purkinje image tracking to improve gaze estimation accuracy compared to traditional pupil-CR methods.

fMRI-Based Prediction of Eye Gaze During Naturalistic Movie Viewing Reveals Eye-Movement-Related Brain Activity

This study evaluates a pre-trained model's ability to predict eye gaze from fMRI data during movie watching, finding limited individual accuracy but reliable group-level results for brain activity related to eye movements.

Motion-corrected eye tracking (MoCET) improves gaze accuracy during visual fMRI experiments

The paper introduces MoCET, a method to correct eye tracking drift in fMRI by using head motion parameters, improving gaze accuracy over existing methods.

Mobile Eye-Tracking Glasses Capture Ocular and Head Markers of Listening Effort

This study validates mobile eye-tracking glasses for measuring listening effort by comparing them to a stationary system in a controlled task.

Intentionally vs. Spontaneously Prolonged Gaze: A MEG Study of Active Gaze-Based Interaction

This study uses MEG to compare brain activity during intentional and spontaneous gaze dwells in a video game task, identifying distinct neural patterns associated with voluntary gaze control.

Cross-species real time detection of trends in pupil size fluctuation

This paper introduces rtPupilPhase, an open-source software for real-time detection of pupil size fluctuation trends across species.

Automated Analysis Pipeline for Extracting Saccade, Pupil, and Blink Parameters Using Video-Based Eye Tracking

This paper presents an automated pipeline for analyzing eye-tracking data, including saccades, blinks, and pupil responses, and evaluates it on a large dataset of human participants.

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.

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.

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.

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.

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.

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.