Artificial Intelligence Techniques to improve cognitive traits of Down Syndrome Individuals

Abstract

Improving the learning process requires to improve the cognitive traits of individuals with low mental skills. The artificial intelligence (AI) has been used to support the different individuals with impairments. People with Down syndrome fall in intellectual impairment. Different AI techniques of convolution neural network, artificial neural network and decision tree are widely applied to address the different cognitive traits. We have summarized the artificial intelligence review utilized for such individuals. The aim of this research article is investigate the usability of computational intelligence for addressing the deficits of cognitive skills and other traits. The individuals with cognitive impairment survive with limited mental challenge, therefore, they hardly perform daily life assignments. The individuals with down syndrome face mild to severe cognitive challenges that affects to their daily life activities, education and performing employment. So, they can have reduced the social and economic burden of their family and to make their live productive. Achieving these goals requires improvement in their cognitive challenge. A survey of (N = 50) of the individuals of Down syndrome has been carried out with the support of team of psychologists and teachers of homogeneous education system.