ItemBook Chapter

Leveraging Deep Learning for Early Detection of Autism Spectrum Disorder in Augmented and Virtual Reality Mental Healthcare Environments

Title
Leveraging Deep Learning for Early Detection of Autism Spectrum Disorder in Augmented and Virtual Reality Mental Healthcare Environments
Creator
Lamani, Manjunath Ramanna; Asha, V.; Padmaja, K.
Description
The advent of digital health interventions offers new vistas for the early detection and management of autism spectrum disorder (ASD). This paper explores the innovative application of deep learning algorithms within augmented reality (AR) and virtual reality (VR) environments to enhance the early detection of ASD. Integrating AR and VR in mental healthcare provides immersive, controlled settings in which individuals behaviors and responses can be observed and analyzed in real time. We propose a novel framework that utilizes deep learning techniques to process and analyze the data collected from these digital environments. Our approach leverages facial expression analysis, eye tracking, and behavioral pattern recognition to identify early signs of ASD. By capturing subtle nuances in behavior often overlooked in traditional diagnostic settings, our method offers a non-invasive, engaging, and efficient alternative for early ASD detection. The potential of this technology extends beyond diagnosis, offering possibilities for personalized intervention strategies that can be adapted to each individual's unique needs. Our findings indicate that deep learning in AR and VR environments could significantly enhance the accuracy and timeliness of ASD diagnosis, paving the way for earlier and more effective interventions. This study underscores the importance of interdisciplinary collaboration in developing innovative healthcare solutions, combining the fields of artificial intelligence, psychology, and digital media to improve outcomes for individuals with ASD. 2026 Scrivener Publishing LLC.
Source
Augmented and Virtual Reality in Immersive Healthcare;pp.151-173
Date
01-01-2025
Publisher
wiley
Subject
augmented reality; Autism spectrum disorder; deep learning; early detection; mental healthcare; virtual reality
Coverage
Lamani M.R., Department of CSE, CHRIST University, Kanmanike, Kumbalgudu, Karnataka, Bangalore, India; Asha V., Dept of CSE, RNS Institute of Technology, Karnataka, Bengaluru, India; Padmaja K., Dept of ISE, GSSSIETW, Karnataka, Mysore, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 978-139430286-4; 978-139430284-0;
Format
online
Language
English
Type
Book chapter

Citation

Lamani, Manjunath Ramanna; Asha, V.; Padmaja, K., “Leveraging Deep Learning for Early Detection of Autism Spectrum Disorder in Augmented and Virtual Reality Mental Healthcare Environments,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/23928.

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