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A Practical Approach for Sign Language’s Static Gesture Recognition: Using Backpropagation Training Algorithm and Skin Color Modeling Method - Softcover
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.
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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.
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- PublisherScholars' Press
- Publication date2017
- ISBN 10 6202304464
- ISBN 13 9786202304467
- BindingPaperback
- Number of pages100
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A Practical Approach for Sign Language¿s Static Gesture Recognition
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ISBN 13: 9786202304467
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 100 pp. Englisch. Seller Inventory # 9786202304467
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A Practical Approach for Sign Language¿s Static Gesture Recognition : Using Backpropagation Training Algorithm and Skin Color Modeling Method
Published by
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ISBN 13: 9786202304467
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Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9786202304467
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A Practical Approach for Sign Language\ s Static Gesture Recognition
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ISBN 13: 9786202304467
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Book Description Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sisodia Dilip SinghDr. 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 . Seller Inventory # 385940758
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