Paper Key : IRJ************520
Author: Manpreet Kaur,Gurpreet Kaur
Date Published: 24 Apr 2024
Abstract
Sign language is the main form of communication for the speech-and hearing-impaired people. The general public finds it very difficult to understand or comprehend sign language fully. The creation of a sign language recognition system is necessary to overcome this communication obstacle. Since wearable sensors are the foundation of the majority of sign language identification systems now in use, most people cannot afford the system for identification. We are constructing a sign language convolutional model on the different parameters in this research project. We obtained the sign language-based dataset from Kaggle.The numerical data in the dataset was converted into English letters ,with the aid of Matplotlib. Our tests demonstrated the convolutional sign language system's accuracy. Additionally, we merged these methods and determined the modelsmean value.Sign language is the main form of communication for the speech-and hearing-impaired people. The general public finds it very difficult to understand or comprehend sign language fully. The creation of a sign language recognition system is necessary to overcome this communication obstacle. Since wearable sensors are the foundation of the majority of sign language identification systems now in use, most people cannot afford the system for identification. We are constructing a sign language convolutional model on the different parameters in this research project. We obtained the sign language-based dataset from Kaggle.The numerical data in the dataset was converted into English letters ,with the aid of Matplotlib. Our tests demonstrated the convolutional sign language system's accuracy. Additionally, we merged these methods and determined the modelsmean value.
DOI LINK : 10.56726/IRJMETS53059 https://www.doi.org/10.56726/IRJMETS53059