An enhanced virtual reality method for diagnosing autistic children

Abstract

Autism Spectrum Disorder (ASD) is a neurodevelopment condition that influences substantial children and adults. Currently the identification of this disorder is carried out by specialists who follow regular questionnaires and lookout for definite behavioral indications over physical monitoring. These approaches for the identification are not only particular, but hard to reiteration, expensive and also tremendously time taking. This paper talks about a procedure to support the likelihoods of the existence of ASD in children by automated optical and pulse analysis. This paper focuses on the differentiating abilities of the autistic kids, especially with colours. We investigate the colour perception and cognition of kids with ASD who have preference to certain colours. In comparison with the former approaches, our methodology is ideal to predict ASD in children by using the infrared and pulse rate sensor which helps to analyze the colours that they are not comfortable with. The design we have modelled is envisioned for investigation and treatment of autism and tests included contributors with this condition.