Autism Spectrum Disorder Analysis and Detection System

Autism Spectrum Disorder is a neurodevelopmental disorder characterized by social interaction, communication impairments, and repetitive behaviors. In recent years, there has been an increase in prevalence, and it is important to identify individuals early for appropriate intervention to improve their quality of life. The following study was conducted to deepen the understanding and management of the disorder by employing a comprehensive two-module approach. Module one emphasizes the detection of ASD through sophisticated machine learning techniques for early and accurate diagnosis. Module two is on improving social and communication skills of children with ASD via game-based assessments, offering them an interactive yet enjoyable learning environment. This project, not only in contributing to the scientific community, but also through practical applications contributes and offers easy solutions for caregivers and educators. Integration of technology with both detection and intervention holds huge advancement in this area, promising better outcomes for ASD individuals.

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Publication Details

Published
2025-02-05
DOI
https://doi.org/10.1109/idciot64235.2025.10914880
Citations
4
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
5.72
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article

Autism Spectrum Disorder Analysis and Detection System

K Ananthajothi, E Mohanapriya, S S Mukhilan
4 citations
Autism Spectrum Disorder Research
5.72
article

Autism Spectrum Disorder Analysis and Detection System

K Ananthajothi, E Mohanapriya, S S Mukhilan
article en
4 citations

Abstract

Autism Spectrum Disorder is a neurodevelopmental disorder characterized by social interaction, communication impairments, and repetitive behaviors. In recent years, there has been an increase in prevalence, and it is important to identify individuals early for appropriate intervention to improve their quality of life. The following study was conducted to deepen the understanding and management of the disorder by employing a comprehensive two-module approach. Module one emphasizes the detection of ASD through sophisticated machine learning techniques for early and accurate diagnosis. Module two is on improving social and communication skills of children with ASD via game-based assessments, offering them an interactive yet enjoyable learning environment. This project, not only in contributing to the scientific community, but also through practical applications contributes and offers easy solutions for caregivers and educators. Integration of technology with both detection and intervention holds huge advancement in this area, promising better outcomes for ASD individuals.

Rajalakshmi Engineering College
Openalex Percentile: Top 5%
Autism Spectrum Disorder Research
5.72
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