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What is Gesture Control System for Gaming about?

This document describes a project to develop a gesture control gaming system using deep learning and image processing. Key aspects include using hand gestures detected by a camera to provide virtual commands for a game designed with PyGame. A convolutional neural network (CNN) model is developed and trained on a dataset of hand gesture images to classify the gestures. The CNN architecture includes convolution and max pooling layers followed by fully connected layers. An accuracy of 88.7% is achieved on the

Author

Kumar

Language

EN