Interactive Hand Gesture Control System for Augmented Reality-based Games

Abstract

This research paper presents the development of an innovative 2D augmented reality (AR) car game utilizing Python, OpenCV, and Pygame. The primary objective of the game is to provide an interactive platform for individuals with motor skill challenges, such as Parkinson’s disease, to enhance their hand and gesture control abilities. The game involves controlling a virtual car superimposed onto the real-world environment using an AR marker. Hand gestures captured by a webcam control the car's movements, creating a novel and accessible gaming experience. The implementation incorporates computer vision techniques from the OpenCV library to detect an AR marker, interpret hand gestures, and map them to specific actions within the game. The Pygame library facilitates the creation of an engaging gaming environment, where users can employ intuitive hand movements to navigate the virtual car. The system's performance is evaluated in varying lighting conditions, and the results demonstrate a promising accuracy rate in gesture detection. The limitations and potential improvements are discussed, emphasizing the system's application in assisting individuals with motor impairments and its broader implications for human-computer interaction. This research provides insights into the intersection of augmented reality, computer vision, and assistive technology, offering a foundation for further advancements in accessible gaming experiences. Keywords: Augmented Reality, Hand Gesture Control, Computer Vision, Game Interaction, Assistive Technology