Detection system for human body cognitive condition based on visual saliency difference graph

Abstract

The invention provides a detection system for a human body cognitive condition based on a visual saliency difference graph. The detection system comprises a data acquisition module, a model training module and a human body cognitive condition detection module; the data acquisition module is used for acquiring eye movement track historical data under a set visual image and eye movement track data of a person to be detected. The model training module is used for inputting eye movement track historical data into a neural network detection model for training to obtain a trained neural network detection model; the human body cognitive condition detection module is used for inputting eye movement track data of a person to be detected into the trained neural network detection model to obtain a detection result of the person to be detected, and judging whether the person to be detected has human body cognitive impairment or not according to the detection result of the person to be detected; according to the invention, complicated processing is not needed, whether the subject suffers from the infantile autism or not can be directly identified according to the eye movement track of the observation picture of the subject, and high-precision infantile autism judgment is achieved.

Description

technical field [0001] The disclosure belongs to the technical field of image processing, and in particular relates to a detection system for human cognitive status based on a visual saliency difference map. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] Autism Spectrum Disorder (autism) is a developmental disorder that affects communication, behavior and social skills of sick children. Since the diagnosis process needs to be carried out by pediatricians, neurologists, pathologists and other professional medical teams with patients Assessment of long-term communication and behavioral competencies, which are highly influenced by physician subjective factors. According to statistics, about 1 in 59 children has autism. However, due to the prevalence of autism and the shortage of clinical resources, early diagnosis of autism in children is...

AI Technical Summary

Problems solved by technology

According to statistics, about 1 in 59 children has autism. However, due to the prevalence of autism and the shortage of clinical resources, early diagnosis of autism in children is not widely applicable. Symptoms often go undetected in childhood, thus missing the best time for intervention

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