Nivash, S. and Ganesh, E. N. and Manikandan, T. and Dhaka, Arvind and Nandal, Amita and Hoang, Vinh Truong and Kumar, Adarsh and Belay, Assaye and Lakshmanna, Kuruva (2023) Implementation and Analysis of AI-Based Gesticulation Control for Impaired People. Wireless Communications and Mobile Computing, 2022. pp. 1-15. ISSN 1530-8669
![[thumbnail of 205.pdf]](https://ir.vistas.ac.in/style/images/fileicons/text.png)
205.pdf
Download (1MB)
Abstract
This paper presents an intelligent human PC intuitive framework. In this proposed work, artificial intelligence is utilized for home
mechanization, which perceives human motions with the assistance of a camera and performs tasks appropriately. The idea ofperceiving the motions depends on three layers: detection, tracking, and recognition. We use a camera-PC interface that cancatch the developments, and later use PC vision innovation and AI calculations to comprehend the fundamental example andmatch the information with a preprepared dataset. When it comes to safes, an extra layer of security is provided by using facerecognition, and the safe is opened if the individual is recognized from the dataset.
Item Type: | Article |
---|---|
Subjects: | Electronics and Communication Engineering > Coding Techniques |
Divisions: | Electronics and Communication Engineering |
Depositing User: | Mr IR Admin |
Date Deposited: | 09 Sep 2024 08:32 |
Last Modified: | 09 Sep 2024 09:40 |
URI: | https://ir.vistas.ac.in/id/eprint/5308 |