A single camera eye-gaze tracking system with free head motion

Hennessey, Craig; Noureddin, Borna; Lawrence, P.D.

doi:10.1145/1117309.1117349

Cited by 174 publications

(105 citation statements)

References 17 publications

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“…First, the most popular, considered light corneal reflections or glints on corneal surface caused by dedicated light sources [43,46,47]. Another approach tended to evaluate geometric characteristics of eye components (pupil, iris, sclera, limbus) interrelations and analyzed them in order to estimate gaze direction [47,[52][53][54][55].…”

Section: Related Workmentioning

confidence: 99%

“…Using computer vision and geometrical properties of the eyes, gaze direction can be estimated without the need of any kind of physical contact with the user. Great amount of non-intrusive gaze tracking methods exploited dedicated IR light sources [43][44][45][46][47][48][49][50]. Among them there are professional video-based eye trackers which still are relatively expensive (i.e.…”

Section: Introductionmentioning

confidence: 99%

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Single web camera robust interactive eye-gaze tracking method

Wojciechowski¹,

Fornalczyk²

2015

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. Eye-gaze tracking is an aspect of human-computer interaction still growing in popularity,. Tracking human gaze point can help control user interfaces and may help evaluate graphical user interfaces. At the same time professional eye-trackers are very expensive and thus unavailable for most of user interface researchers and small companies. The paper presents very effective, low cost, computer vision based, interactive eye-gaze tracking method. On contrary to other authors results the method achieves very high precision (about 1.5 deg horizontally and 2.5 deg vertically) at 20 fps performance, exploiting a simple HD web camera with reasonable environment restrictions. The paper describes the algorithms used in the eye-gaze tracking method and results of experimental tests, both static absolute point of interest estimation, and dynamic functional gaze controlled cursor steering.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Single web camera robust interactive eye-gaze tracking method

Wojciechowski¹,

Fornalczyk²

2015

Bulletin of the Polish Academy of Sciences Technical Sciences

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“…It was proved in the literature [1] that in order to obtain the 3-D gaze direction, the gaze tracking system contains at least two cameras. But there are still documents discuss the method of estimating the 3-D gaze direction that bases on single camera system [2,3,4]. The current single camera single source system has no yet achieved the 3-D gaze estimation, methods rely more on priori eye parameters.…”

Section: Introductionmentioning

confidence: 99%

Calibration of Iris Radius in Single Camera and Single Light Gaze Tracking System

Liu¹,

Zhang²,

Hu³

et al. 2016

Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

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Abstract-In a single camera single source gaze tracking system, if we can accurately estimate the 3-D coordinates of the iris center and the center of corneal surface curvature, we can reconstruct 3-D gaze direction. A novel method is proposed in this paper, different from other gaze tracking systems, the user calibration in this paper is the calibration of the iris radius, corneal curvature radius and kappa angle. Through the simulation experiments, the feasibility of the algorithm proposed in this paper is analyzed, and the error of the algorithm is relatively small.

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“…The method reported in [5], for example, uses specialised hardware for estimating the focus of attention. Employing pure image/video processing techniques, based on single-camera systems, without the need for calibration tends to be easier to develop, but such systems require more constraints in terms of lighting and user behaviour for robust use.…”

Section: Introductionmentioning

confidence: 99%

Modelling user attention for human-agent interaction

Peters

Asteriadis

Rebolledo-Méndez³

2009

2009 10th Workshop on Image Analysis for Multimedia Interactive Services

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In this work, we propose a design for a user attention model featuring three core components. Our system components can work in real-time, offering indications of user attention from different sensory inputs (both visual and neurophysiological). Intention of the current work is to keep the equipment as unintrusive as possible, while keeping the confidence of the inputs as high as possible. We discuss potential applications of such a system, particularly with respect to evaluating user attentive behaviour during human-agent interactions and as a more natural interface for interacting with agents.

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A single camera eye-gaze tracking system with free head motion

Cited by 174 publications

References 17 publications

Single web camera robust interactive eye-gaze tracking method

Single web camera robust interactive eye-gaze tracking method

Calibration of Iris Radius in Single Camera and Single Light Gaze Tracking System

Modelling user attention for human-agent interaction

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