Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/376213
Title: | Iot Based Secure Early Elderly Fall Detection And Prevention Models |
Researcher: | Vinod Kumar |
Guide(s): | Rajesh Mishra and Neelendra Badal |
Keywords: | Computer Science Computer Science Artificial Intelligence Engineering and Technology |
University: | Dr. A.P.J. Abdul Kalam Technical University |
Completed Date: | 2022 |
Abstract: | This era demands the popularity of Internet of Things (IoT) which is newlinephenomenally increasing every single day, due to its user-friendliness for newlinemonitoring the regular health life of a human being that makes it the most newlineinnovative, user-friendly, convenient, and wearable. IoT empowers the newlineindependence of the user location for specifying the healthcare system. Also newlinemake it can deal with the paucity of the infrastructure in IoT, as it works on the newlinesensors and actuators to monitor the health of people. It helps the elderly fall by newlinedetecting through image processing techniques. newlineIn this epoch of the working lifestyle, people do not get enough time to focus on newlinetheir elders who are staying back at home the elderly demand intense care. IoT newlinehas become an essential part of anyone s life that connects each other virtually. newlineMany problems can solve by using these techniques for better scientific newlineinnovations. IoT not only provides communication but rather also makes us alert newlineabout many things in need of an hour. newlineSecurity becomes crucial to concern for these wireless communication or wired newlinecommunication in the IoT. The protection of sensors and actuators is crucial, yet newlineprotecting the information is more critical for many sectors such as medical, newlinefitness, military, and other fields. newlineIn IoT, still many unsolved massive concerns are seeking for security, newlineapplications, and more user-friendliness. The Healthcare sector has become the newlineprimary concern for this world, as it becomes hard to evaluate or monitor the newlinehealth of the elderly age group, as they are not aware of many latest newlinetechnologies. Although Artificial Intelligence (AI) techniques are playing a newlinesignificant role in protecting the data, they also detect fall detection by using newlinemany other Image Processing methods. newlineOpen system and user-friendliness of the IoT devices, applications, and system, newlineIoT becomes most vulnerable for captured images or intruders attack. Using IoT newlinemakes it a little unsafe and makes its resources limited more for real-time data. newlineThese things are making |
Pagination: | |
URI: | http://hdl.handle.net/10603/376213 |
Appears in Departments: | dean PG Studies and Research |
Files in This Item:
File | Description | Size | Format | |
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80_recommendation.pdf | Attached File | 628.34 kB | Adobe PDF | View/Open |
certificate .pdf | 75.95 kB | Adobe PDF | View/Open | |
chaper 1.pdf | 391.83 kB | Adobe PDF | View/Open | |
chaper 3.pdf | 271.17 kB | Adobe PDF | View/Open | |
chapter 2.pdf | 280.33 kB | Adobe PDF | View/Open | |
chapter 4 .pdf | 456.79 kB | Adobe PDF | View/Open | |
chapter 5 .pdf | 639.24 kB | Adobe PDF | View/Open | |
chapter 6.pdf | 602.19 kB | Adobe PDF | View/Open | |
chapter 7.pdf | 716.61 kB | Adobe PDF | View/Open | |
chapter 8.pdf | 850.11 kB | Adobe PDF | View/Open | |
priliminary pages.pdf | 211.29 kB | Adobe PDF | View/Open | |
title page.pdf | 1.7 MB | Adobe PDF | View/Open |
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