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Eye movement data correction method based on eyeball error model

An error model and data correction technology, applied in the field of eye tracking, can solve the problems of cumbersome operation process, inconvenient promotion and application, etc., to achieve the effect of ensuring matching degree, convenient correction, and reducing complexity

Active Publication Date: 2021-09-03
SICHUAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, its application requires a priori conditions. It is necessary to know the specific type of myopia, strabismus and myopia with strabismus before selecting the corresponding method for correction. The operation process is cumbersome and it is not convenient for popularization and application.

Method used

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  • Eye movement data correction method based on eyeball error model
  • Eye movement data correction method based on eyeball error model
  • Eye movement data correction method based on eyeball error model

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Embodiment

[0054] The change of the user's line of sight is carried out by the rotation of the eyeball. The rotation of the human eyeball is a very complicated physiological process. Even if the eye only moves in a single horizontal direction, the eyeball also moves back and forth on a certain track, rather than a simple one. The earth rotates as a sphere. In order to simplify the relevant calculations in eye movement data correction, the existing eye movement data correction methods regard the user's eyeball as figure 2 A standard sphere rotating around a fixed point is shown, the center of the eyeball is a point 13.5 mm behind the cornea, the center of the pupil is on the spherical surface, and the line connecting the center of the eyeball and the center of the pupil is the user's line of sight.

[0055] During the use of the eye tracker, the relationship between the eyes and the screen is as follows: image 3 As shown, where O is the center of the eyeball, Z is the eye tracker, and ...

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Abstract

The invention discloses a method for correcting eye movement data based on an eyeball error model, comprising the following steps: S1. Obtaining the coordinates of a reference point gazed by a user when the sight is calibrated, the coordinates of the intersection point of the sight line and the screen when the eyes are looking straight ahead, and the reference point of the user's gaze When only strabismus exists, the coordinates of the estimated point of sight corresponding to the occurrence of strabismus, and the coordinates of the estimated point of sight corresponding to the occurrence of myopia accompanied by strabismus, generate an eyeball error model between the user's actual eyeball and the eyeball reference model; wherein, the number of reference points is at least 2, The coordinates of the reference point are known when the gaze is calibrated, and the eye movement gaze estimation point is detected by the eye tracker; S2. Calculate the data error according to the eyeball error model; S3. Compensate the error amount in the eye movement data for data correction. When the present invention is applied, it is not necessary to determine the types of myopia, strabismus, and myopia with strabismus, which makes eye movement data correction more convenient and can ensure the matching degree between eye movement data and real data.

Description

technical field [0001] The invention relates to the field of sight tracking, in particular to an eye movement data correction method based on an eyeball error model. Background technique [0002] In the past 40 years, the research on gaze tracking has attracted much attention and made great progress. However, the key technology of gaze tracking—eye recognition and tracking is still a difficult problem. At present, in the process of eye recognition and tracking, gaze estimation technology is often applied. Existing gaze estimation techniques include model-based and regression-based types. Among them, most model-based line-of-sight estimation methods often require some prior parameters, such as: a single-camera single-light source system based on the Le Grand eyeball model, which uses the empirical value of corneal radius C = 7.7mm; widely used in human-computer interaction Morimoto's quadratic regression model, which is based on the Gullstrand eyeball model, requires prior p...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01A61B3/113
CPCA61B3/113G06F3/013
Inventor 郑秀娟淳新益栗战恒杨晓梅刘凯
Owner SICHUAN UNIV
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