Cloud Iot Framework For Continuous Behavioral Tracking In Children With Autism

Abstract

Autism spectrum disorder (ASD) in children is characterized by a behavioral pattern that needs to be monitored and taken care of on time. Traditional assessment methods which rely on the child's caregiver reporting, or the rare clinical observation are not providing the full picture of daily behaviors and may postpone proactive management. This paper presents IoT (Internet of Things) framework developed on a Cloud platform for constant behavioral monitoring in Autism disorders. The system integrates wearable sensors, IoT gateways and cloud infrastructure with intelligent behavioral analytics that enables real-time detection and escalation of behavior of concern. A pilot implementation has been conducted to demonstrate the feasibility of the framework, along with reliable behavior tracking, low latency, and high scalability. In practical use, this method enhances the clinical decision making with timely knowledge from caregiver and expert to professional based on data for proactive behavior management in real life.