A Service-Oriented IoT System to Support Individuals with ASD

Abstract

In this work, we are focusing on design and construction of Service-Oriented Architecture (SOA) enabled Internet of Things (IoT) based smart assistive system prototype, which can be dynamically configured and interfaced with array of sensors to prevent injuries of Autism Spectrum Disorder (ASD) individuals. This increase the quality of life of people with ASD. The proposed model suggested implementing a wearable array of sensor components to gather information about the physiological status of a person and environmental condition of his surroundings. Afterward the data forwarded to a cloud service for analysis purpose. The system compromises of various tier of interaction and storage, to form a ubiquitous platform. One of the layer in the tier are linked to wearable computing platform. Another layer of the tier is dedicated to data storage captured from raw sensor data. The interaction between the tiers nodes is performed over the Internet through HyperText Transfer Protocol (HTTP) REST API and Message Queuing Telemetry Transport (MQTT) protocol. The system work in three domain: services at home, services at community i.e. neighborhood and services away from home. We can access in real time and monitor of ASD person though mobile app and web. So our approach will be helpful to manage ASD affected individuals.