AWS IoT and the Interconnected World – Aging in Place
Justin Waterman, Hyeongjun Yang, Fadi Muheidat · 2020
This project is considered the startup component of a framework for sensor data fusion, data mining, and analytics in real-time. The long-term goal is to build a dynamic, efficient, scalable, and secure runtime of parsing and handling multi-sensor data. The outcomes of the project are meant to design a multi-sensors data fusion model. During this research, some concepts are used and studied for future use, such as data imperfections and inconsistencies, misled data association, data fusion portability, machine independence, security vulnerabilities, etc. We will build the sensor network, acquire data from multiple sensors, and use AWS IoT SDK (Software Development Kit) to handle the data fusion for basic algorithms. The core of the multiple sensor network will be a Raspberry Pi 4 to decrease system cost and increase portability. The outcomes of this project will help build a comprehensive, real-time data monitoring, and support system for assistive living and care providers.