Designing racing game controller by image-based hand gesture recognition

Abstract

[en] This thesis is focused on exploring how hand gesture recognition can be used to replace controllers in racing games. The goal is to understand how to develop a system that is accurate, allowing for more responsive control when driving virtual vehicles. The first step of the research project is to analyze existing gesture recognition technologies, such as the Microsoft Kinect, and how they can be used in racing games. By studying existing implementations, the thesis aims to gain key concepts that can help improve the user's experience. The research will also investigate various hardware requirements, such as camera placements and sensors, that would be necessary for the system to function effectively in a racing game environment. Once the research requirements are established, testing will be carried out to evaluate how effective gesture-based control systems are compared to traditional controllers. The results of these tests will be analyzed to evaluate how well the system performs compared to existing controller-based racing games. The ultimate goal of this thesis is to create a more natural form of control that allows players to focus on the thrill of racing without worrying about button presses or joystick movements.