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What is Edge Intelligence

Chapter 17
Applications of Big Data in Large- and Small-Scale Systems
The devices available at the edge layer have some limited amount of computing resources which can be utilized and incorporated with machine learning or AI algorithms to perform real-time data analytics.
Published in Chapter:
Role of Edge Computing to Leverage IoT-Assisted AAL Ecosystem
Madhana K. (PSG College of Technology, India) and Jayashree L. S. (PSG College of Technology, India)
Copyright: © 2021 |Pages: 25
DOI: 10.4018/978-1-7998-6673-2.ch017
Abstract
The medical advancement in recent years is addressing challenges of the dependent people like senior citizens, physically challenged, and cognitively impaired individuals by providing technical aids to promote a healthier society. The radical improvement in the digital world is trying to make their life smoother by creating a smart living environment via ambient assisted living (AAL) rather than hospitalization. In this chapter, an Edge-based AAL-IoT ecosystem is introduced with the prime objective of delivering telehealthcare to elderly and telerehabilitation to disabled individuals. The proposed framework focuses on developing smart home, an intelligent atmosphere for real-time monitoring in regard to meet the needs of independent and isolated individuals. The supporting technologies to leverage the edge computing concept, to enable scalability and reliability are also studied. A case study on proposed architecture for quarantined patient monitoring remotely in the event of epidemic or pandemic diseases is presented.
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