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A Practical Approach for Sign Language's Static Gesture Recognition

Using Backpropagation Training Algorithm and Skin Color Modeling Method

Dilip Singh Sisodia (Autor)

Buch | Softcover

100 Seiten

2017
Scholar's Press (Verlag)
9786202304467 (ISBN)

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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.

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.

Erscheinungsdatum	14.09.2021
Sprache	englisch
Maße	150 x 220 mm
Gewicht	167 g
Themenwelt	Mathematik / Informatik ► Informatik
Schlagworte	Glove-based • hand gestures • Multilayer Error Back propagation network • Nueral networks • Pixel array • Sign Language • Skin Color • Vision-based
ISBN-13	9786202304467 / 9786202304467
Zustand	Neuware