Virtual Human Interaction System Using CV Learn

Abstract

Abstract: This project proposes a way to control the position of the cursor with the bare hands without using any electronic device. While the operations like clicking and dragging of objects will be performed with the different hand gestures. The proposed system will only require a webcam as an input device. The software that will be required to implement the proposed system are OpenCV and Python and the libraries used for this model is MediaPipe. The output of the camera will be displayed on the system’s screen so that it can be further calibrated by the user. The python dependencies that will be used for implementing this system are NumPy, math and mouse. It’s a new approach for controlling mouse movement using a real time camera. Major approaches consist of adding more buttons or charging the position of the tracking ball of mouse. Instead we suggest to change the design of hardware. Our concept is to use a camera and computer vision technology, as a image segmentation and gesture recognition, to control mouse tasks and we show how it can perform everything that current mouse devices do.