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Record W2103406235 · doi:10.1109/ccece.2011.6030667

User-calibration-free remote eye-gaze tracking system with extended tracking range

2011· article· en· W2103406235 on OpenAlex
Dmitri Model, Moshe Eizenman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicGaze Tracking and Assistive Technology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputer visionArtificial intelligenceComputer scienceGazeTracking (education)PupilEye trackingCalibrationTracking systemPoint (geometry)Range (aeronautics)MathematicsOpticsEngineeringPhysicsKalman filter

Abstract

fetched live from OpenAlex

A novel general method to extend the tracking range of user-calibration-free remote eye-gaze tracking (REGT) systems that are based on the analysis of stereo-images from multiple cameras is presented. The method consists of two distinct phases. In the brief initial phase, estimates of the center of the pupil and corneal reflections in pairs of stereo images are used to estimate automatically a set of subject-specific eye parameters. In the second phase, these subject-specific eye parameters are used with estimates of the center of the pupil and corneal reflections in images from any one of the systems' cameras to compute the Point-of-Gaze (PoG). Experiments with a system that includes two cameras show that the tracking range for horizontal gaze directions can be extended from ±23.2° when the two cameras are used as a stereo pair to ±35.5° when the two cameras are used independently to estimate the POG.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.799
Threshold uncertainty score0.914

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.236
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations19
Published2011
Admission routes1
Has abstractyes

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