A Practical Approach for Sign Language¿s Static Gesture Recognition
Using Backpropagation Training Algorithm and Skin Color Modeling Method
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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 ge...
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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