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Implementation of IoT Data Analysis in Personal Elderly Home Care System

Authors:
Chuan-Zong Huang
Jung-Tang Huang

Keywords: IoT;Smart Healthcare;Big Data;Wearable;Cloud computing;Data Analysis

Abstract:
At present, the proportion of the elderly population in the world is gradually increasing, but the fertility rate is very low. In the future, the elderly population will be much larger than the young population. More care institutions and systems are needed to share the pressure of the young population. This is a major issue in the future. However, many studies are now on the development of wearable devices and the implementation of non-care Internet of Things (IoT). The subjects must wear a number of uncomfortable sensors and bulky equipment, which is very difficult for the subjects. unfriendly, or developed care-related IoT systems without effectively utilizing the data collected. Therefore, this system combines a complete and novel Internet of Things architecture to effectively collect relevant physiological information of users through Bluetooth bracelets, Bluetooth security charms, depth cameras, and Google Home Nest Mini, and integrate these reliable and diverse Data processing and storage, detailed analysis of every tiny and available information in the data, effective analysis of the subjects' life patterns, and establishment of a personalized care model.

Pages: 1 to 9

Copyright: Copyright (c) IARIA, 2022

Publication date: June 26, 2022

Published in: conference

ISSN: 2308-4359

ISBN: 978-1-61208-984-3

Location: Porto, Portugal

Dates: from June 26, 2022 to June 30, 2022