Gesture Voice: Revolutionizing Human-Computer Interaction with an AI-Driven Virtual Mouse System

Abstract

In this paper, we propose an innovative AI-driven virtual mouse system that seamlessly integrates hand gestures and voice commands for intuitive interaction with computing devices. Traditional input methods such as physical mice and keyboards can be limiting for users with mobility impairments or in scenarios where hands-free operation is desired. Our system addresses these challenges by leveraging advancements in computer vision and natural language processing to enable users to control the mouse cursor and execute commands through hand gestures and voice input.

The core of our system lies in the fusion of hand gesture recognition and voice assistant technologies, providing users with a versatile and efficient means of interacting with computers and other smart devices. Through a combination of depth sensing cameras and machine learning algorithms, the system accurately detects and interprets a wide range of hand gestures, allowing users to perform actions such as cursor movement, clicking, dragging, and scrolling with ease.

Furthermore, security is a paramount concern in modern computing environments, especially with the increasing prevalence of AI-driven interfaces. To address this, our system incorporates robust security measures, including user authentication through voice biometrics and encryption of communication channels to safeguard sensitive data.

Overall, our AI virtual mouse system represents a significant advancement in human-computer interaction, offering a seamless and secure interface that empowers users to interact with computing devices more naturally and efficiently.