Open AccessSign Language and Common Gesture Using CNN
Author(s) -
Piyush Kapoor
Publication year - 2021
Publication title -
international journal of advanced trends in computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3091
DOI - 10.30534/ijatcse/2021/651032021
Subject(s) - sign language , gesture , computer science , convolutional neural network , gesture recognition , feature (linguistics) , american sign language , sign (mathematics) , speech recognition , artificial intelligence , human–computer interaction , natural language processing , linguistics , mathematical analysis , philosophy , mathematics
The Deaf, Dumb, and Blind Community and the general public have a true communication difficulty. The advancements made during the automated signing recognition try to break down the communication barrier. Our commitment considers a recognition method based on the Microsoft Kinect, convolutional neural networks (CNNs), and GPU acceleration. CNNs are prepared to automate the procedure of feature construction rather than developing intricate handcrafted features.We have a high level of accuracy in recognizing gestures and sign language. We also created more modules to make communication easier for persons with diverse abilities.This Project Mainlyto help the deaf, dumb and blind community by using this project approach this community can be able to communicate like a normal human being for this have used different modules for that.