Hand Tracking-Based Virtual Mouse System

Abstract: This study presents a real-time hand gesture-based virtual mouse system leveraging computer vision technologies. The system utilizes a webcam, OpenCV, Mediapipe, PyAutoGUI, and Pynput to allow touchless cursor movement, left/right clicks, double click, and screenshot functionality. The goal is to improve human-computer interaction, especially in hygienic or accessibility-focused environments. This method replaces traditional physical mouse devices with intuitive gestures, enhancing ease of use and inclusivity.