Implementation Of Gesture Recognition Based Virtual Mouse and Keyboard

Implementation Of Gesture Recognition Based Virtual Mouse and Keyboard

Naresh Thoutam, Bhumi chavan, Kabir Patole, Sakshi Jadhav, Vidhya Bagal

Abstract - Today, computer vision has advanced to the point where a machine can recognise its owner by running a straight forward picture processing application. People are employing this in this period of growth because vision in a variety of everyday activities, including Face Recognition, Color Detection, Autopilot Cars, etc. In this project, computer vision, or a camera, is utilised to recognise hand gestures to create a virtual mouse and keyboard. The computer's camera will scan the image of various hand gestures made by a user, and the computer's mouse cursor will move and even carry out various functions using various movements in accordance with the gestures. Similar to how some other motions can be used to access keyboard features.Without a wire or other external devices, it will function as a virtual mouse and keyboard. The project's webcam is its sole piece of hardware, and Python is used to code on the Anaconda platform. This project uses cutting-edge Machine Learning and Computer Vision algorithms to recognise hand movements, and it operates without the need for any additional hardware.

Index Terms - Face Recognition, Machine Learning, Virtual Mouse And Keyboard,  Anaconda Platform