Hand Cricket Game Using CNN Squeeze Network

Abstract—The game of Hand cricket is a popular childhood game that involves the use of hands and fingers to simulate a cricket match. In this paper, we propose a novel approach to enhance the game by introducing the use of squeeze sensors and implementing a deep neural network for execution. The squeeze sensors are used to detect the hand gestures of the players and transmit the data to the deep neural network for analysis. The deep neural network then generates the appropriate response for executing the game, such as displaying the score and determining the winner. Our experimental results demonstrate that the use of squeeze sensors and deep neural networks can significantly enhance the game of Hand cricket, providing a more engaging and interactive experience for players. Keywords— Hand Cricket, CNN, Tensorflow, OpenCV, Keras