A Practical Approach for Sign Language s Static Gesture Recognition: Using Backpropagation Training Algorithm and Skin Color Modeling Method

Sisodia, Dilip Singh

ISBN 10: 6202304464 / ISBN 13: 9786202304467

Published by Scholars' Press, 2017

About this Item

100 pages. 8.66x5.91x0.23 inches. In Stock.

Seller Inventory # zk6202304464

Bibliographic Details

• Title: A Practical Approach for Sign Language s Static Gesture Recognition: Using Backpropagation Training Algorithm and Skin Color Modeling Method
• Publisher: Scholars' Press
• Publication Date: 2017
• Language: English
• ISBN 10: 6202304464
• ISBN 13: 9786202304467
• Binding: Paperback
• Condition: Brand New
• Weight: 0.2 kilograms

About this title

Synopsis

This book discussed an artificial neural network based approach for static hand gestures recognition of a sign language system. The backpropagation learning algorithm is used to train the multilayer perceptron Perceptron network.The skin color modeling method is used for differentiating between the skin and non-skin colors. The main objective of this book is to present the systematic and easy to understand implementation details of the development of new perceptual interfaces for human-computer-interaction based on visual input captured by computer vision systems.The whole concept of static gesture recognition system is explained using image data set of hand gestures used for the representation of numeric digits.

About the Author

Dr. Dilip Singh Sisodia received the BE and M.Tech. degrees respectively in computer science & engineering and information technology from the RGPV, Bhopal, India. He received the Ph.D. degree in computer science and engineering from NIT Raipur.