Visual attention detection method based on eyeball movement and system thereof

Abstract

The invention provides a visual attention detection method based on eyeball movement and a system thereof. The method comprises the steps that visual attention test content is displayed through firstdisplay equipment; acquiring a plurality of face images when a testee reads the plurality of E-shaped marks, identifying eye images corresponding to the face images according to the plurality of faceimages, and determining pupil position data of the eye images according to the plurality of eye images, based on the pupil position data, determining fixation point position information of the visualattention test content of the testee on the first display equipment, and determining the visual attention level of the visual attention testee according to the fixation point position information andthe visual attention test content. According to the technical scheme, the visual attention of the visual attention testee can be evaluated automatically, so that the evaluation is more objective, andthe defects of an existing clinical visual attention detection technology are overcome.

Description

technical field [0001] The invention relates to the field of medical devices, in particular to a visual attention detection method and system based on eye movement. Background technique [0002] Eyes are an important way for human beings to obtain external information, and human beings obtain 80%-90% of external information through eyes. During the normal reading process of human beings, even though our eyes are always moving, the fonts we see always remain static, which is mainly related to the visual attention guided by human conscious perception prediction. Eye movement is an important part of neuro-ophthalmology. It needs to be maintained by normal nerve function. It has a series of special functions: it can fix the target of interest on the most sensitive central fovea of ​​the retina, and it can maintain the vision of both eyes. Coordinate the movement and position of the head and body. Eye movements in a broad sense include eye rotation, vergence, accommodation, eye...

AI Technical Summary

Problems solved by technology

[0008] The embodiment of the present application provides a visual attention detection method and system based on eye movements to solve the above-mentioned problem that visual attention cannot be evaluated objectively

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