Real-Time Sign Language Recognition System

被引：1
|
作者：
Sen, Sanjukta [1 ]
Narang, Shreya [1 ]
Gouthaman, P. [1 ]
机构：
[1] SRM Inst Sci & Technol, Sch Comp, Fac Engn & Technol, Dept Networking & Commun NWC, SRM Nagar, Chennai 603203, Tamil Nadu, India
来源：
2023 ADVANCED COMPUTING AND COMMUNICATION TECHNOLOGIES FOR HIGH PERFORMANCE APPLICATIONS, ACCTHPA | 2023年
关键词：
D O I：
10.1109/ACCTHPA57160.2023.10083349
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Hearing and speech impairments affect more than 36 million of the world's population. A sign-language recognition system is a crucial step towards the enhancement of communication among visually impaired people. The main idea behind this project is to create a real-time sign language recognition deep learning model which can work on pre-trained image and video dataset and give us the output in real-time. Our system would take the input as an ASL alphabet and save it and then show the string in text or audio format according to the user's choice. It involves accurate extraction of hand gestures using appropriate sensing devices in our model for the smooth communication between the normal and visually-impaired people. This project can serve as a perfect service to the educational industry.
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页数：6
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