AI Virtual Mouse Using Hand Gesture Recognition

Abstract

The AI Virtual Mouse leverages advanced computer vision and artificial intelligence techniques to replace traditional physical mice with an innovative, touch-free solution for human-computer interaction. This system uses a camera to capture real-time hand movements and gestures, which are processed through machine learning algorithms for accurate gesture recognition. The recognized gestures are mapped to conventional mouse functionalities such as cursor movement, clicking, dragging, and scrolling. Designed with user accessibility and ergonomic considerations in mind, the AI Virtual Mouse provides an intuitive and efficient alternative for individuals with physical limitations or those seeking hands-free control. The implementation involves a combination of technologies, including OpenCV for image processing, MediaPipe for hand tracking, and deep learning models for gesture classification.