International Journal of Emerging Research in Science, Engineering, and Management
Vol. 2, Issue 1, pp. 288-297, January 2026.
This work is licensed under a Creative Commons Attribution 4.0 International License.
B.Hima Bindu
Godugu Thejaswini
Kovuru Ramalakshmi
Konga Uma Maheswari
Sompalli Pavithra
Nemalla Venkateswara
Department of CSE, Siddartha Institute of Science and Technology, Puttur, India.
Abstract: This represents an increasing trend towards natural and touchless interfaces, driven by leaps in computer vision and AI. The mouse device itself imposes serious limitations, above all in sterile environments, accessibility-focused scenarios, and situations that absolutely require hands-free control. Deep learning-based gesture recognition overcomes this through virtual mouse systems-interpreting hand movements captured via a webcam into cursor actions. With an AI-enabled Virtual Mouse System, intuitive, touchless movements, clicks, drag, and scroll operations are provided through simple hand gestures. It enhances the sense of accessibility, hygiene, and allows for a seamless experience that proves quite valuable in healthcare, gaming, AR/VR applications, and other smart and interactive settings.
Keywords: Hand Gesture Recognition, AI Virtual Mouse, Computer Vision, Touchless Human–Computer Interaction, MediaPipe Hands.
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