Infant growth obstacle intelligent evaluation method based on three-dimensional eye movement characteristic

Abstract

The invention discloses an infant growth obstacle intelligent evaluation method based on a three-dimensional eye movement characteristic. The method mainly comprises the three steps of establishing adouble-sphere model of an eyeball optical axis, a binocular vision axis and a head-eye relative space relation, extracting the three-dimensional eye movement characteristic, and performing intelligentidentification of the infant growth obstacle. The double-sphere model estimates the optical axis according to the three-dimensional eyeball data, and obtains the relative relation between the binocular vision axis and eyes on the head. In three-dimensional eye movement characteristic extraction, a new eye movement parameter is obtained after three-dimensional modeling. In intelligent identification of the infant growth obstacle, an algorithm is applied for performing intelligent cleaning, storage, analysis, mining and displaying on mass eye movement data, and an association between a typicalparameter and a specific growth function obstacle is obtained, thereby determining the type of the obstacle. The method overcomes restriction in obtaining the eye movement characteristic; data miningtechnology and artificial intelligence technology are applied, thereby supplying a new technical tool for more objectively and comprehensively evaluating development of the infant cognition capability.

Description

technical field [0001] The invention relates to the field of infant development assessment, in particular to an intelligent assessment method for infant developmental disabilities based on three-dimensional eye movement features. Background technique [0002] Research on the plasticity mechanism of visual development and eye movement control mechanism has always been a hot spot in pediatric ophthalmology research. However, with the development of visual development science, its clinical application has increasingly extended and crossed from ophthalmology (eye diseases, strabismus and amblyopia) to developmental pediatrics. Vision is the main channel for human beings to obtain information, and it plays an important role in integrating other sensory tasks. Because the language and movements of infants are not yet fully mature, vision becomes one of the important ways to understand the level of brain development and cognitive development of infants before they can fully expres...

AI Technical Summary

Problems solved by technology

Moreover, traditionally, doctors can display specific graphics or animations, visually stimulate children, and observe eye movements with naked eyes. Although it is simple and easy to do, it can only give a rough understanding of eye movements and cannot accurately and objectively reflect eye movements. Predisposed to bias the diagnosis of developmental disabilities

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