Issue |
E3S Web of Conf.
Volume 507, 2024
International Conference on Futuristic Trends in Engineering, Science & Technology (ICFTEST-2024)
|
|
---|---|---|
Article Number | 01033 | |
Number of page(s) | 13 | |
DOI | https://doi.org/10.1051/e3sconf/202450701033 | |
Published online | 29 March 2024 |
Promoting sustainable living: IoT-integrated smart homes for elderly people
1 Department of AIMLE, GRIET, Hyderabad, Telangana, India.
2 The Islamic university, Najaf, Iraq.
3 New Horizon College of Engineering, Bangalore, Karnataka, India.
4 Lovely Professional University, Phagwara, Punjab, India
5 Lloyd Institute of Engineering & Technology, Knowledge Park II, Greater Noida, Uttar Pradesh, India.
* Corresponding author: poornima1704@grietcollege.com
The global population is rapidly aging, creating a demand for innovative solutions to support elderly individuals in maintaining their independence and well-being. This shift has led to the integration of Internet of Things (IoT) technology into smart homes as a transformative approach to elderly care. By utilizing continuous monitoring and real-time data collection, IoT-based solutions offer personalized support tailored to the unique needs of seniors. A wearable device, incorporating Arduino Uno microcontroller, ESP01, DHT11, ADXL335, and pulse sensor, provides crucial real-time information on vital signs, particularly beneficial for those with conditions like Alzheimer’s. These technologies not only detect falls but also facilitate immediate alerts to caregivers, promoting safety and rapid response. Moreover, IoT-integrated smart homes promote sustainability by optimizing energy usage and reducing waste, contributing to a more ecofriendly future. Unlike traditional methods, these IoT solutions offer proactive interventions and remote connectivity, enhancing communication between seniors, caregivers, and healthcare professionals while minimizing healthcare costs. This holistic approach prioritizes the autonomy and privacy of the elderly while harnessing technological advancements to improve their quality of life.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.