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A Practical Approach for Sign Language’s Static Gesture Recognition: Using Backpropagation Training Algorithm and Skin Color Modeling Method - Softcover
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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.
Biografía del autor:
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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- VerlagScholars' Press
- Erscheinungsdatum2017
- ISBN 10 6202304464
- ISBN 13 9786202304467
- EinbandTapa blanda
- Anzahl der Seiten100
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A Practical Approach for Sign Language¿s Static Gesture Recognition
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Scholars' Press Dez 2017
(2017)
ISBN 10: 6202304464
ISBN 13: 9786202304467
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Buchbeschreibung Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786202304467
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A Practical Approach for Sign Language¿s Static Gesture Recognition : Using Backpropagation Training Algorithm and Skin Color Modeling Method
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Buchbeschreibung Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786202304467
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A Practical Approach for Sign Language\ s Static Gesture Recognition
Verlag:
Scholars\' Press
(2017)
ISBN 10: 6202304464
ISBN 13: 9786202304467
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Buchbeschreibung Zustand: 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 . Bestandsnummer des Verkäufers 385940758
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