Sign Detection and Recognition Using CNN and Machine Learning | Enhancing Human-Machine Interaction through Deep Learning

Samradhny Sonwane (u. a.)

ISBN 10: 365986790X / ISBN 13: 9783659867903

Published by LAP LAMBERT Academic Publishing, 2024

About this Item

Sign Detection and Recognition Using CNN and Machine Learning | Enhancing Human-Machine Interaction through Deep Learning | Samradhny Sonwane (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9783659867903 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

Seller Inventory # 130625519

Bibliographic Details

• Title: Sign Detection and Recognition Using CNN and Machine Learning | Enhancing Human-Machine Interaction through Deep Learning
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2024
• Language: English
• ISBN 10: 365986790X
• ISBN 13: 9783659867903
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 96 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Sign language is a primary mode of communication for the deaf and hard-ofhearing community, providing a rich, visual language that enables expression and connection. However, for individuals who do not understand sign language, communication barriers persist. With recent advances in computer vision and deep learning, automated sign language recognition systems offer promising solutions to bridge this gap, enabling real-time translation of hand gestures into text or spoken language. This project focuses on implementing a real-time sign language recognition system using Convolutional Neural Networks (CNNs) to identify static hand gestures representing letters of the English alphabet.