A Practical Approach for Sign Language¿s Static Gesture Recognition

Dilip Singh Sisodia

ISBN 10: 6202304464 / ISBN 13: 9786202304467

Published by Scholars' Press Dez 2017, 2017

About this Item

Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch.

Seller Inventory # 9786202304467

Bibliographic Details

• Title: A Practical Approach for Sign Language¿s Static Gesture Recognition
• Publisher: Scholars' Press Dez 2017
• Publication Date: 2017
• Language: English
• ISBN 10: 6202304464
• ISBN 13: 9786202304467
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 167 grams

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.