Augmented and Virtual Reality in Immersive Healthcare

6Leveraging Deep Learning for Early Detection of Autism Spectrum Disorder in Augmented and Virtual Reality Mental Healthcare Environments

Manjunath Ramanna Lamani^1*, Asha V.² and Padmaja K.³

¹Department of CSE, CHRIST University, Kanmanike, Kumbalgudu, Bangalore, Karnataka, India

²Dept of CSE, RNS Institute of Technology, Bengaluru, Karnataka, India

³Dept of ISE, GSSSIETW, Mysore, Karnataka, India

Abstract

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 ...