Artificial Intelligence Techniques to improve cognitive traits of Down Syndrome Individuals: An Analysis

Abstract

Individuals with cognitive impairment survive mental challenges; they hardly perform daily life assignments. The individuals with down syndrome face mild to severe cognitive challenges that affect daily life activities and learning. A goal is to reduce the social and economic burden of their family and to make their lives productive. Achieving these goals requires improvement in limited mental challenge. Most of the work has been done on facial expression, prediction of inhibitory capacity, and prediction of mental deficiency. The review highlights the usefulness of machine learning-techniques, including convolution neural network and artificial neural network, applied to address mental challenge. Based on the gaps of existing AI techniques, the authors provide a recommendation for the identification of mental challenges using a survey-based Software approach, which is focused on analyzing and improving mental challenges from severe-moderate to moderate-mild; and to enhance the academics, social collaboration, and employment capability to the Down syndrome individuals.