Implementation of gesture driven virtual reality for car racing game using back propagation neural network

This paper explores the development an intelligent human-computer communicative interface for a computer gaming appliance Gesture tracking is selected as the most suitable interactive modality, to ensure a user friendly gaming environment. For complete capture of an entity position, both distance and angle based features have been considered. Gradient Descent Learning is adapted to derive the weights following the feed forward architecture of a Back Propagation Neural Network. The system is formulated in such a way that it provides unbiased subject independent results. A gesture driven console for Forza Motorsport 4 game is designed, and its performance is compared with contender neural networks.