AI-Powered Virtual Mouse Controlled by Hand Gestures
Dhinesh Kumar, B and Priya, R (2025) AI-Powered Virtual Mouse Controlled by Hand Gestures. International Journal of Scientific Research & Engineering Trends, 11 (2). pp. 2837-2843. ISSN 2395-566X
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Abstract
The present paper proposes a novel way of cursor control using hand movements that a standard webcam can easily capture instead of the traditional mouse. It offers a hands-free experience with ease by eliminating the need for a
hardware device. The technology utilizes the ability of the webcam to record hands perfectly. The hand gestures are not just imitated, however. Some hand gestures will be developed to serve various operations, such as dragging and right and left click. This permits users to take advantage of the cursor and the functionalities of it in a smooth and intuitive fashion. For one to implement this system as aforementioned, Python and OpenCV come in handy. These models imitating the undulating movement of human hand movements have the capabilities to significantly increase the usability of such computer vision applications. The technological world today is constantly evolving because of the plenty of technologies. One of such fascinating
concepts is the human-machine interface. The concept fundamental this is known as signal acknowledgment, which is a method for duplicating mouse functions on a screen without any need for equipment.
| Item Type: | Article |
|---|---|
| Subjects: | Computer Science Engineering > Artificial Intelligence |
| Domains: | Computer Science Engineering |
| Depositing User: | Mr IR Admin |
| Date Deposited: | 19 Aug 2026 12:04 |
| Last Modified: | 01 Sep 2026 10:17 |
| URI: | https://ir.vistas.ac.in/id/eprint/22054 |
