Published Paper Details:

A hand gesture recognition system provides a natural, innovative and modern way of nonverbal communication. In this project, we have created an AI-based Mouse Controller. It will first detect the hand landmarks, then track and then perform functions. The virtual mouse will be operated without touching any device or screen. This project represents a concept of controlling our video display with the assistance of hand gestures, which relies on one in each of the studies of Human Computer Interaction. This project shows that we are able to control our screen by moving our fingers which will work as cursor. To make this happen, all we need a working webcam and three main algorithms that are, mediapipe, OpenCV and autopy. Mediapipe is employed for hand tracking, OpenCV for image processing and drawing and at last autopy for controlling the mouse movement and its functioning. Our proposed project is on hand gesturebased system that allows users to control desktop mouse movements using hand gesture. To detect hand gesture movements, our system makes use of a desktop webcam. The goal is to control mouse cursor functions with a simple camera or webcam rather than a traditional or standard devices. Using only a camera, the Virtual Mouse provides an infrastructure between the user and the machine. It enables the user to interact with a machine without the need for any mechanical or physical devices, and even allows to control mouse functions.