AI-Powered Smart Vision Mouse Interface for Touchless Human Computer Interaction

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Authors: Tanvi W. Khonde, Chetan Puri, Janhavi R. Hajbe, Shreya V. Talvekar
Cited by: 0
References: 11

Abstract

The AI-Powered Smart Vision Mouse Interface integrates deep learning, computer vision, and speech recognition technologies to bring touchless human-computer interaction into the modern age. This solution is primarily directed at ensuring accessibility, hygiene, and user comfort by enabling cursor manipulation and carrying out mouse operations through gestures of the hand and voice commands recorded in real-time by a webcam and microphone, respectively. While speech recognition enables natural language instructions to be executed through this interface, Media Pipe and Convolutional Neural Network-based models detect and classify gestures. It offers a cheap, hardware-neutral solution that can be exploited in many different contexts. Experimental results have been able to show exceptional efficiency and responsiveness during real-world scenarios, despite its average gesture detection accuracy being 95.3% and voice command accuracy being 89%.

Fields of Study & Subjects

Hand Gesture Recognition Systems Gaze Tracking and Assistive Technology Interactive and Immersive Displays

Publication details

Journal / source
International Conference on Mobile Computing and Sustainable Informatics (ICMCSI)
Pages
2013–2017
Publication date
7 January 2026
Language
EN