A Review on Computer Vision-Based Techniques for Autism Symptoms Detection and Recognition

Abstract

Autism is a mental disorder appearing in children as a delay in their social and communicational skills. ASD causes are still mysterious but scientists believe that they are caused by genetic defects. Diagnosing autism has been an exhaustive process that attracts several researchers’ attentions. In this work, an overall description of autism its classes, signs and diagnosing protocols are covered. As computational technologies helped in assisting almost every field it added advantages in detecting and recognizing autism In this work, deep investigation of computer vision-based protocols in cooperation with machine learning technologies are discussed to propose autism diagnosing solution.