| Issue |
E3S Web Conf.
Volume 564, 2024
International Conference on Power Generation and Renewable Energy Sources (ICPGRES-2024)
|
|
|---|---|---|
| Article Number | 07004 | |
| Number of page(s) | 6 | |
| Section | Signal Processing | |
| DOI | https://doi.org/10.1051/e3sconf/202456407004 | |
| Published online | 06 September 2024 | |
IoT-Enabled Cabin Designed for The Mobility Challenged
1 M-Tech in CSE, School of CSE, REVA University, Bangalore, India
2 Associate Professor, School of CSE, REVA University, Bangalore, India
The IoT-Enabled Smart Cabin for People with Disabilities project aims to improve the living experience for individuals with mobility and sensory challenges. By using the Internet of Things (IoT), the project creates an intelligent living space that adapts to the unique needs of people with disabilities, enhancing their independence, safety, and overall quality of life. The smart cabin uses a network of sensors to monitor the environment and automatically adjust lighting, temperature, and other conditions to meet residents’ preferences. Customizable living spaces with adaptable furniture and infrastructure allow residents to tailor their environment to their specific needs. User-friendly communication interfaces ensure easy interaction within the cabin and with the outside world. Additionally, the system uploads data to the cloud for efficient monitoring and management. This project represents a major step toward creating inclusive and accessible living environments, empowering individuals with disabilities and promoting universal design principles.
Key words: IoT-Enabled Smart Cabin / Disabilities / Adaptation / Sensors / Customizable / Cloud
© 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.