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The Internet of Things System Combined with the Cloud Platform Applied to the Data Collection and Analysis of the eElderly's Home Life Style

Authors:
Bing-Hong Jiang
Jung-Tang Huang

Keywords: IoT; Smart Healthcare; Data flow; Big Data Analysis; Cloud Services

Abstract:
This study combines Google Cloud Platform (GCP), Google Assistant, Firebase and MongoDB for data streaming and storage through smart bracelets, smart amulets (9-axis IMU), and smart speakers (Google Home Next Mini), and the collected data changes are displayed on the webpage immediately to form a home care internet of things system for the elderly. The experiment visited five groups of families for actual testing, with ten people experimenting for one week, all wearing the smart bracelet and the smart amulet at the same time. The bracelets and amulets were transmitted by Bluetooth broadcasting, and received various physiological information and posture changes through the peripheral devices, which were stored in Firestore (Firebase's no-SQL) and MongoDB and analyzed by Cloud Function to provide relevant recommendations based on the elderly's body information. Finally, the results of the analysis and recommendations are broadcasted by smart speakers to improve the bad habits of daily life. Lightweight and inexpensive wearable devices will reduce the discomfort caused by wearing many sensors in the past, and at the same time will reduce the cost of setting up a home care Internet of Things system, which will assist the elderly in the field of home care by creating a long-term automated care system, giving a major boost to the issue of elderly care in an aging society.

Pages: 19 to 23

Copyright: Copyright (c) IARIA, 2023

Publication date: March 13, 2023

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-68558-056-8

Location: Barcelona, Spain

Dates: from March 13, 2023 to March 17, 2023