Analysis of Autism Spectral Disorder

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Kirubha.M
Aiyswarya.S
Pavithra.M
Prinitha.R

Abstract

Autism is a serious development disorder that blunts the ability to communicate and collaborate. It is specifically known as Autism Spectrum Disorder (ASD) which affects the nervous system and also the overall cognitive, emotional, social and physical health of the affected individuals. Some of the symptoms are compulsive behaviours, impulsivity, improper social interaction, intense interest in a limited number of things, depression or unaware of others feelings, anxiety, change in voice sensitivity to sound. Treatment consists of therapy, early recognition as well as behavioural, education and family therapies may reduce the symptoms and also support development and learning. They determine a machine learning approach that uses wearable data to discriminate physiological states combine with stressful and non-stressful scheme in child with ADS. Kalman filter method is used to find the integrate heart beat rate and accelerometer signal. They monitor the affected child and collect data based on their activity by using wearable sensor. Wearable may be of belts, badge and watches that are hooked to the children or adults with Autism disorder. Therefore this wearable system is used for the user to recognize speech and also help in their regular activities.

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How to Cite
Kirubha.M, Aiyswarya.S, Pavithra.M, & Prinitha.R. (2022). Analysis of Autism Spectral Disorder. IIRJET, 5(3). https://doi.org/10.32595/iirjet.org/v5i3.2020.116