Year: 2025
Type: article
Abstract: -- This paper explores the development of a gesture-controlled system that enables users to interact with computer games, such as Hill Climb Racing, using hand movements. The system utilizes real-time data from a webcam, along with libraries like MediaPipe, OpenCV, and Pygame, to detect and interpret hand gestures. By tracking hand movements, the software allows users to control game functions and navigate the mouse pointer without the need for traditional input devices. This approach not only enhances the gaming experience but also promotes hands- free interaction, with potential for future integration into other applications and advanced gesture recognition systems. Keywords--- Hand gestures, Computer games, Hill Climb Racing, Webcam, MediaPipe, OpenCV, Pygame.
DOI: 10.55041/ijsrem41237
Author: Yusuf Pathan
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4407113183