Paper Title
ASL Communication System
Article Identifiers
Registration ID: IJNRD_200621
Published ID: IJNRD2306619
DOI: http://doi.one/10.1729/Journal.35006
Authors
Emmanuel Pinto , Vishwa Shukla , Dr.D.V.Bhoir , Palak Joseph
Keywords
ASL American Sign Language, KNN K Nearest neighbor, CNN Convolutional Neural Networks, RNN Recurrent Neural Networks, GUI Graphical User Interface, E-R Entity Relationship, ROI Region of Interest, HCI Human Computer Interaction, SVM Support Vector Machine, HOG Histogram of Oriented Gradients, SIFT Scale-Invariant Feature Transform
Abstract
This project aims to create an application that can recognize and translate the American Sign Language (ASL) alphabet into text. It uses a convolutional neural network (CNN) model and a Flask web application with a user-friendly interface. The ASL dataset is preprocessed and trained on a CNN model with three convolutional layers, two fully connected layers, and an output layer representing the 26 letters of the alphabet. The trained model is then deployed on the Flask web application, allowing users to upload an image of an ASL letter and receive the predicted letter on the screen. The user interface is intuitive and accessible, including additional features such as a "Clear" button and a "Learn More" button. The model achieved an accuracy of 96% on the validation set after training on 80% of the ASL dataset, making it a reliable tool for real-time ASL letter recognition for people with speech or hearing impairments. This application is a significant step towards bridging the communication gap and making communication more inclusive.
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How To Cite (APA)
Emmanuel Pinto, Vishwa Shukla, Dr.D.V.Bhoir, & Palak Joseph (June-2023). ASL Communication System. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(6), g156-g161. http://doi.one/10.1729/Journal.35006
Issue
Volume 8 Issue 6, June-2023
Pages : g156-g161
Other Publication Details
Paper Reg. ID: IJNRD_200621
Published Paper Id: IJNRD2306619
Downloads: 000121998
Research Area: Engineering
Country: Vasai(W), Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2306619.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2306619
Crossref DOI: http://doi.one/10.1729/Journal.35006
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