Virtual Reality Music-Based Game as a Co-Tool to Diagnose Autism in Young Children

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that impacts various aspects of life, including motor skills, social interactions, and communication, with symptoms that differ widely among individuals. Early diagnosis is critical, especially in young children, as timely intervention...

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Bibliographic Details
Published inDigest book (International Conference on Robotics and Mechatronics. Online) pp. 214 - 219
Main Authors Tandiseh, Armin, Taheri, Alireza
Format Conference Proceeding
LanguageEnglish
Published IEEE 17.12.2024
Subjects
Accuracy
Autism
Autism Spectrum Disorders (ASD)
Classification
Games
Machine Learning
Motors
Music
Robots
Robustness
Sensitivity
Solid modeling
Variable speed drives
Virtual reality
Online AccessGet full text
ISSN2572-6889
DOI10.1109/ICRoM64545.2024.10903545

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Summary:Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that impacts various aspects of life, including motor skills, social interactions, and communication, with symptoms that differ widely among individuals. Early diagnosis is critical, especially in young children, as timely intervention can significantly improve outcomes. This paper presents a novel approach utilizing a music-based virtual reality (VR) game to assist therapists in differentiating children with ASD from their typically developing (TD) peers. A classification model was trained using data collected from 21 TD children and 9 children with ASD, focusing on their actions and movements within the game. The model achieved an accuracy of 93% and a sensitivity of 85%, showcasing the potential of VR games in advancing ASD/TD classification and autism screening.
ISSN:2572-6889
DOI:10.1109/ICRoM64545.2024.10903545