GAME AUTOMATION USING MACHINE LEARNING

Abstract: This research paper's primary goal is to is to demonstrate how to play a computer game using human gestures. The system's secondary goal is to develop a system that allows a player to play a game without using a physical controller. This system seeks to create a gesture recognition application. The system's attached camera or webcam may be used to identify human hand gestures. The operations on the Game will be performed with the game's basic gaming controls based on the analysis performed by the program on identifying human Hand Gestures. The software includes instructions for recognizing human hand motions. Hand motions should be made using the palms of the hands. The system will be divided into three sections: user interface, gesture recognition, and analysis. The user interface module provides the user with all of the necessary graphical user interface to register the user's arm positions for performing gestures. Gesture recognition by the Media pipe is a cross-platform library developed by Google that provides amazing ready-to-use ML solutions for computer vision tasks. Open CV library in python is a computer vision library that is widely used for image analysis, image processing, detection, recognition etc. This research paper will be accomplished with the help of OPEN CV.

Keywords: Camera, hand gestures, motions, recognitions, Media pipe.