Open Iris - An Open Source Framework for Video-Based Eye-Tracking Research and Development.

Roksana Sadeghi, Ryan Ressmeyer, Jacob Yates, Jorge Otero-Millan

Abstract readPreprint

In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Roksana SadeghiHerbert Wertheim School of Optometry and Vision Science, University of California, Berkeley, California, USA.ORCID 0000-0002-1192-3869

Ryan RessmeyerBioengineering, University of Washington, Seattle, Washington, USA.ORCID 0000-0003-3441-460X

Jacob YatesHerbert Wertheim School of Optometry and Vision Science, University of California, Berkeley, California, USA.ORCID 0000-0001-8322-5982

Jorge Otero-MillanHerbert Wertheim School of Optometry and Vision Science, University of California, Berkeley, California, USA.ORCID 0000-0002-9789-8392

Funding

Neural mechanisms of active vision in the foveaR00EY032179 · NEI · UNIVERSITY OF CALIFORNIA BERKELEY · PI YATES, JACOB L · 2022 to 2024

$747k

Perceptual stability during torsional eye movementsR00EY027846 · NEI · UNIVERSITY OF CALIFORNIA BERKELEY · PI OTERO-MILLAN, JORGE · 2020 to 2022

$739k

NEI NIH HHS R00 EY027846NEI NIH HHS R00 EY032179

6 · The paper itself

Abstract

Eye-tracking is an essential tool in many fields, yet existing solutions are often limited for customized applications due to cost or lack of flexibility. We present OpenIris, an adaptable and user-friendly open-source framework for video-based eye-tracking. OpenIris is developed in C# with modular design that allows further extension and customization through plugins for different hardware systems, tracking, and calibration pipelines. It can be remotely controlled via a network interface from other devices or programs. Eye movements can be recorded online from camera stream or offline post-processing recorded videos. Example plugins have been developed to track eye motion in 3-D, including torsion. Currently implemented binocular pupil tracking pipelines can achieve frame rates of more than 500Hz. With the OpenIris framework, we aim to fill a gap in the research tools available for high-precision and high-speed eye-tracking, especially in environments that require custom solutions that are not currently well-served by commercial eye-trackers.

Indexed as

eye movementEye-trackingopen-source

Identifiers

PMID38463977

DOI10.1101/2024.02.27.582401

PMCPMC10925248

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.