Content area

Abstract

The Internet of Things (IoT) is a paradigm that involves connecting the virtual world of the Internet to the real world through so-called smart objects. Indeed, Internet of Things (IoT) devices are extensively employed in a wide range of applications, including healthcare field and home automation. These objects are equipped with communication capabilities and can exchange data over the Internet. In recent times, the healthcare sector has witnessed a surge of growth and transformation. The integration of IoT-enabled devices has revolutionized remote monitoring in healthcare, empowering healthcare providers to keep their patients safe and healthy while delivering exceptional care. On the other hand, the home automation system is becoming increasingly popular due to its many benefits, which involve remotely monitoring and controlling household appliances. In fact, the main challenges faced by home automation systems are poor manageability, rigidity, difficulty in achieving security, and high ownership costs. As the internet and its applications continue to grow, there is enormous potential for remotely accessing, controlling and monitoring network-enabled devices. With this context in mind, the objective of this project is to develop two IoT-based models. These models are based on Arduino and Raspberry pi boards, cloud, Bluetooth and ZigBee protocols. The first model is an IoT healthcare system that employs various sensors to collect heart rate and motion data. The second model is a home automation system that utilizes a DHT11 sensor to measure temperature and humidity levels, a MQ2 sensor to detect gas leaks, and an ultrasonic sensor to control the garage door's opening and closing. Both systems are built around an Arduino or a Raspberry pi microcontrollers integrated with an Android mobile application to process and transmit data via Bluetooth or Zigbee ensuring that the mobile app receives real-time updates.

Details

10000008
Business indexing term
Title
IoT based applications for healthcare and home automation
Author
Ghoul, Yamna 1 ; Naifar, Omar 2 

 University of Tunis El Manar, National Engineering School of Tunis, LR11ES20 Analysis, Conception and Control of Systems Laboratory, Tunis, Tunisia (GRID:grid.12574.35) (ISNI:0000000122959819) 
 University of Sfax, National Engineering School of Sfax, Control and Energy Manamgment laboratory, Sfax, Tunisia (GRID:grid.412124.0) (ISNI:0000 0001 2323 5644); University of Kairouan, Higher Institute of Applied Sciences and Technology Kairouan, Kairouan, Tunisia (GRID:grid.442525.0) (ISNI:0000 0000 9284 9597) 
Publication title
Volume
83
Issue
10
Pages
29945-29967
Publication year
2024
Publication date
Mar 2024
Publisher
Springer Nature B.V.
Place of publication
Dordrecht
Country of publication
Netherlands
ISSN
13807501
e-ISSN
15737721
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2023-09-14
Milestone dates
2023-08-31 (Registration); 2023-03-01 (Received); 2023-08-31 (Accepted); 2023-07-05 (Rev-Recd)
Publication history
 
 
   First posting date
14 Sep 2023
ProQuest document ID
2941420913
Document URL
https://www.proquest.com/scholarly-journals/iot-based-applications-healthcare-home-automation/docview/2941420913/se-2?accountid=208611
Copyright
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Last updated
2024-12-11
Database
ProQuest One Academic