1HOD, Department of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India. Email: hodit@mvit.edu.in
2,3,4,5UG Student, Department of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India.
Background: This project focuses on developing a hand gesture-controlled virtual mouse system for gaming applications. By using computer vision techniques and real-time gesture recognition, the system captures hand movements through a standard webcam and translates them into mouse actions such as movement, clicking, and dragging. The system is built using Python, OpenCV, MediaPipe, and PyAutoGUI, offering a touchless interface that enhances gaming experiences and improves accessibility.
Objective: The primary goal is to provide an intuitive, hands-free control method for gamers, reducing the need for traditional input devices like a mouse or keyboard. This system aims to improve the gaming experience by allowing users to interact with games in a more natural, immersive way.
Conclusion: The project demonstrates how gesture recognition can offer a more interactive and inclusive alternative to conventional gaming controls, with potential applications in virtual reality (VR), accessibility, and other fields requiring hands-free interaction.
Keywords: Hand gesture recognition, virtual mouse, gaming interface, Python, OpenCV, MediaPipe, PyAutoGUI
How to cite this article: Sivakumar P, Dinakaran P, Yashwini Sai MA, Rishitha VSS, Harishini V. Hand Gesture Controlled Virtual Mouse in Gaming Applications. Int J Drug Deliv Technol. 2026;16(13s): 879-883. DOI: 10.25258/ijddt.16.13s.97.
Source of support: Nil.
Conflict of interest: None