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

Sisodia, Dilip Singh

 
9786202304467: A Practical Approach for Sign Language’s Static Gesture Recognition: Using Backpropagation Training Algorithm and Skin Color Modeling Method

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.