Virtual Mouse Using Computer Vision

Traditional computer systems rely heavily on physical input devices such as a mouse and keyboard for interaction. While these devices are effective, they present several limitations including hardware dependency, wear and tear, hygiene concerns in shared environments, and limited accessibility for physically challenged users. Additionally, in smart environments and touchless systems, the use of physical peripherals becomes inconvenient. These issues arise mainly due to the dependence on mechanical hardware and direct human contact. To overcome these problems, this paper proposes a Virtual Mouse system using computer vision technology. The system utilizes a webcam to capture real-time video and applies hand landmark detection algorithms to recognize specific finger gestures. These gestures are mapped to mouse operations such as cursor movement, left click, right click, scrolling, and drag-and-drop. The proposed solution eliminates the need for physical contact and reduces hardware dependency. Experimental analysis demonstrates that the system achieves high gesture recognition accuracy with minimal latency under standard lighting conditions, providing an efficient, low-cost, and touchless alternative to conventional input devices and contributing to modern human–computer interaction systems.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-28
DOI
https://doi.org/10.5281/zenodo.19844745
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
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article

Virtual Mouse Using Computer Vision

Dr.Babaso Shinde, Girish Patil, Vaibhavi Phadtare, Siddhiraj Salunkhe et al.
Zenodo (CERN European Organization for Nuclear Research)
Hand Gesture Recognition Systems
article

Virtual Mouse Using Computer Vision

Dr.Babaso Shinde, Girish Patil, Vaibhavi Phadtare, Siddhiraj Salunkhe, Dr. Devidas Thosar
article en

Abstract

Traditional computer systems rely heavily on physical input devices such as a mouse and keyboard for interaction. While these devices are effective, they present several limitations including hardware dependency, wear and tear, hygiene concerns in shared environments, and limited accessibility for physically challenged users. Additionally, in smart environments and touchless systems, the use of physical peripherals becomes inconvenient. These issues arise mainly due to the dependence on mechanical hardware and direct human contact. To overcome these problems, this paper proposes a Virtual Mouse system using computer vision technology. The system utilizes a webcam to capture real-time video and applies hand landmark detection algorithms to recognize specific finger gestures. These gestures are mapped to mouse operations such as cursor movement, left click, right click, scrolling, and drag-and-drop. The proposed solution eliminates the need for physical contact and reduces hardware dependency. Experimental analysis demonstrates that the system achieves high gesture recognition accuracy with minimal latency under standard lighting conditions, providing an efficient, low-cost, and touchless alternative to conventional input devices and contributing to modern human–computer interaction systems.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 4%
Hand Gesture Recognition Systems
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Virtual Mouse Using Computer Vision — Dr.Babaso Shinde, Girish Patil, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS