Sight tracking method based on stepwise regression analysis mapping model

A technology of mapping model and gaze point, which is applied in the field of sight tracking, can solve the problems of 2D mapping model lack of rationality test, lack of consideration of eye jitter, and low fitting accuracy, so as to improve computing efficiency, fitting accuracy, and hardware requirements Low, computationally less effect

Inactive Publication Date: 2012-06-27
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the shortcomings of the existing 2-dimensional mapping model, such as lack of rationality check, low fitting accuracy and lack of eye shake when staring, and provide a line-of-sight tracking method based on the stepwise regression analysis mapping

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  • Sight tracking method based on stepwise regression analysis mapping model
  • Sight tracking method based on stepwise regression analysis mapping model
  • Sight tracking method based on stepwise regression analysis mapping model

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Embodiment Construction

[0035] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0036] Such as figure 1 , the present invention needs an infrared light source and a camera. The infrared light source is an LED light installed at the midpoint of the two sides of the display screen, and the camera is located directly below the center of the screen. The camera captures images in real time. Under the illumination of two infrared light sources, the pupil image will produce a dark pupil effect, and two reflection spots will be formed on the cornea of ​​the eye. ,

[0037] Such as figure 2 , the specific implementation steps of the gaze tracking algorithm are as follows:

[0038] Step 1: Gaze at the calibration point and extract eye movement feature information

[0039] Step 2: Select the initial mapping model function

[0040] Step 3: Determine the final mapping model function:

[0041] Step 4: Calculation of gaze poin...

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Abstract

The invention discloses a sight tracking method based on a stepwise regression analysis mapping model. The method comprises the steps of firstly, extracting eye movement characteristic information when human eyes watch a fixed point; then selecting an initial mapping model function; after the initial mapping model is selected, checking significances of all items of a mapping model function, rejecting the non-significant items, and in the process of continuously rejecting the items and reconstructing the mapping model function, finding the mapping model function with the highest fitting precision at last; and finally, utilizing the mapping model function for calculating the watching point, and when the human eyes are in a gazing state, adopting a Gaussian weighted average method to smooth the eye movement characteristic information, thus solving the problem of eye shaking. According to the method, the robustness is good, and the precision is high.

Description

technical field [0001] The invention relates to a line of sight tracking technology, in particular to a line of sight tracking method based on a stepwise regression analysis mapping model. Background technique [0002] Sight recognition technology is an important branch of human-computer interaction technology. It mainly studies the detection and recognition of human gaze points, and realizes the control of other functional systems. and other fields have broad application prospects. [0003] Eye-tracking technologies can generally be divided into two categories, contact and non-contact. The contact type has high precision, but the user must wear special equipment, which brings great inconvenience to the user. The non-contact type does not require the user to wear any equipment and does not interfere with the user. Non-contact technology is a hot research topic at present. In the non-contact eye-tracking technology, the pupil-cornea reflection vector method has high preci...

Claims

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Application Information

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IPC IPC(8): G06F3/01
Inventor 秦华标严伟洪梁铭炬
Owner SOUTH CHINA UNIV OF TECH
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