Autism spectrum disorder face screening method based on machine learning

A machine learning and autism technology, applied in the field of machine learning, can solve the problems of rigid behavior, narrow interests, and lack of facial expressions of ASD children, etc., and achieve the effect of rapid recognition and increased accuracy of image recognition

Pending Publication Date: 2021-01-01
杨铠郗
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

Cognitive impairment is common in children with ASD, and they are characterized by social difficulties, stereotyped behavior and narrow interests, and the facial expressions of ASD children are not rich

Method used

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  • Autism spectrum disorder face screening method based on machine learning

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Embodiment Construction

[0022] In order to better understand the technical solutions of the present invention, the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0023] It should be clear that the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0024] The present application will be described in further detail below through specific embodiments and in conjunction with the accompanying drawings.

[0025] The present invention provides a face screening method for autism spectrum disorder based on machine learning, which specifically includes the following steps:

[0026] S1. Acquiring multiple sets of face sample images, where the face sample images are downloaded from the Int...

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Abstract

The invention discloses an autism spectrum disorder face screening method based on machine learning, and the method specifically comprises the following steps: obtaining a plurality of groups of facesample images which comprise a normal face image and an ASD face image; preprocessing the plurality of groups of face sample images; and inputting the preprocessed face sample image into a pre-constructed convolutional neural network model for training and testing to obtain an ASD face screening model. According to the method, the ASD face features are extracted by using the convolutional neural network, so that rapid recognition of the autism spectrum disorder image is realized, and compared with manual recognition, the image recognition accuracy is greatly improved.

Description

technical field [0001] The invention relates to the technical field of machine learning, in particular to a face screening method for autism spectrum disorder based on machine learning. Background technique [0002] ASD (Autism Spectrum Disorder) is autism spectrum disorder, which is autism in a broad sense. Cognitive impairment is common in children with ASD, and they are characterized by social difficulties, stereotyped behavior, and narrow interests, and the facial expressions of ASD children are not rich. With the development of artificial intelligence, the application of machine learning in medical image analysis is becoming more and more extensive, such as computer-aided diagnosis, etc., but few people have studied the accuracy of personality inference and social perception based on static face images. The differences in brain imaging between children and children with autism provide experimental and technical support for the study of ASD facial features. Contents o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08G16H30/40G16H50/20
CPCG06N3/08G16H50/20G16H30/40G06V40/168G06V40/172G06N3/045G06F18/241
Inventor 杨铠郗杨友
Owner 杨铠郗
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