Evidence map›Paper›PMID 34564339›Full record

ArticleVision (Basel, Switzerland)2021

High-Accuracy Gaze Estimation for Interpolation-Based Eye-Tracking Methods.

Fabricio Batista Narcizo, Fernando Eustáquio Dantas Dos Santos, Dan Witzner Hansen

Abstract read
In one paragraph

Article in Vision (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  5. Article
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

3 authors.

Fabricio Batista NarcizoEye Information Laboratory, Department of Computer Science, IT University of Copenhagen (ITU), 2300 Copenhagen, Denmark.ORCID 0000-0003-1319-5153
Fernando Eustáquio Dantas Dos SantosFederal Institute of Education, Science and Technology of the Northern Minas Gerais (IFNMG), Diamantina 39100-000, MG, Brazil.ORCID 0000-0003-3556-5725
Dan Witzner HansenEye Information Laboratory, Department of Computer Science, IT University of Copenhagen (ITU), 2300 Copenhagen, Denmark.ORCID 0000-0002-6780-4471

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the influence of the eye-camera location associated with the accuracy and precision of interpolation-based eye-tracking methods. Several factors can negatively influence gaze estimation methods when building a commercial or off-the-shelf eye tracker device, including the eye-camera location in uncalibrated setups. Our experiments show that the eye-camera location combined with the non-coplanarity of the eye plane deforms the eye feature distribution when the eye-camera is far from the eye's optical axis. This paper proposes geometric transformation methods to reshape the eye feature distribution based on the virtual alignment of the eye-camera in the center of the eye's optical axis. The data analysis uses eye-tracking data from a simulated environment and an experiment with 83 volunteer participants (55 males and 28 females). We evaluate the improvements achieved with the proposed methods using Gaussian analysis, which defines a range for high-accuracy gaze estimation between -0.5∘ and 0.5∘. Compared to traditional polynomial-based and homography-based gaze estimation methods, the proposed methods increase the number of gaze estimations in the high-accuracy range.

Indexed as

eye trackereye-trackinggaze-mapping calibrationhigh-accuracy gaze estimationuncalibrated setup

Identifiers

PMID34564339
PMCPMC8482219

What OpenQuestion holds

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Registered trials

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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.