Paper Key : IRJ************761
Author: Sangita Paik, Ruchita Telhande,Shruti Lanjewar, Tejasvi Khedekar ,Abhijit Warhade
Date Published: 01 Mar 2025
Abstract
This paper presents an AI-driven virtual mouse system that leverages real-time hand gesture recognition to control mouse functions, eliminating the need for traditional input devices such as a physical mouse or touchpad. The system employs computer vision techniques to detect and track hand and fingertip movements using a standard webcam, enabling an intuitive and contactless human-computer interaction HCI) experience. The proposed model is developed using Python and integrates OpenCV for image processing and the MediaPipe framework for robust hand tracking. By recognizing various hand gestures, the system enables seamless control of essential mouse operations, including cursor movement, left-click, right- click, and scrolling. The system's ability to function using only a webcam enhances accessibility and usability, making it a practical alternative for individuals with mobility impairments and those seeking touchless interaction solutions. This makes the solution lightweight and adaptable, delivering consistent performance based on camera clarity. As long as the computer is powered on, the system remains active, continuously detecting and responding to fingertip movements to execute the corresponding mouse functions.
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