Year: 2025
Type: article
Abstract: An inventive device that enables hands-free computer interaction is the AI-Based Virtual Mouse, which uses generative AI and computer vision. Unlike traditional wireless or Bluetooth mice, which rely on physical components like batteries and dongles, this technology operates without the need for additional hardware. Instead, it recognizes hand gestures using an inbuilt camera or webcam, allowing users to move the cursor, scroll, and left- and right-click without actually touching a mouse. The system was developed in Python and uses OpenCV for computer vision tasks and generative AI models for gesture detection and fingertip tracking. Additionally, MediaPipe and OpenCV provide machine-learning methods for tracking hand movements and translating them into screen cursor movements. The system uses real-time video data to recognize and interpret hand movements to deliver accurate and efficient computer navigation. By eliminating the need for external input devices, our AI-powered virtual mouse enhances convenience and cleanliness while lowering hardware dependencies. Because of its effectiveness on a standard CPU, it is suitable for real-world applications and offers a creative, intuitive, and touch-free alternative to conventional computer interaction methods.
Authors: Mr. N. V. Murali Krishna Raja, S. Swathi Rathnam, Ch. Sri Maha Lakshmi Aishwarya, Ch. Geetha Chandrika, M. Vyshnavi, T. Swathi Ratnam, K. Vedha Veekshita
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4410245727