AI-Based Virtual Mouse

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

Publication Details

Published
2025-05-09
DOI
https://doi.org/10.38124/ijisrt/25apr827
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Based Virtual Mouse

Sarah Rathnam, M. Vyshnavi, C Aishwarya, T. Swathi Ratnam et al.
Hand Gesture Recognition Systems
article

AI-Based Virtual Mouse

Sarah Rathnam, M. Vyshnavi, C Aishwarya, T. Swathi Ratnam, Ch. Geetha Chandrika, M. Arun Manicka Raja, K. Vedha Veekshita
article en

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.

Openalex Percentile: Top 91%
Hand Gesture Recognition Systems
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