Virtual Mouse Operations Using Webcam

Author:

C Saritha 1,Y Phanitha 2,A Ramya Krishna 2

Affiliation:

1. Assistant Professor, Department of CSE, Bhoj Reddy Engineering College for Women, Hyderabad, India

2. Department of CSE, Bhoj Reddy Engineering College for Women, Hyderabad, India

Abstract

With new changes seen in computer technology day by day, it has become quite essential for us to find specific new ways of interaction with computer systems as its need is increasing in society every day. Today, every device is making the use of touch screen technology on its systems, which isn't affordable to be used in all applications. A specific interactive module like a virtual mouse that makes use of Hand Tracking and Gestures that will help us to interact can be an alternative way for the traditional touch screen and the physical mouse. The objective is to create a Hand Tracking application that interacts with the system. This system proposed is a Computer Vision-based mouse cursor control system, which uses hand gestures that are being captured from a webcam through a Hand detection technique. This system allows the user to navigate the system cursor using their hand gestures that the computer webcam tracks and perform mouse operations like left- click, right-click, and double click using different hand gestures. Python and OpenCV library are used for real- time computer vision to implement the system. The camera output is displayed on the monitor.

Publisher

Technoscience Academy

Subject

General Medicine

Reference7 articles.

1. Monali Shetty, Christina A. Daniel, Manthan K.Bhatkar, Ofrin P. Lopes, “Virtual Mouse Using Object Tracking”, IEEE Conference Record # 48766, ISBN: 978-1-7281-5371-1, 2020.

2. Vantukala VishnuTeja Reddy, Thumma Dhyanchand, Galla Vamsi Krishna, Satish Maheshwaram, “Virtual Mouse Control Using Colored Finger Tips and Hand Gesture Recognition” IEEE Xplore Journal HYD-CON, 2020.

3. Onkar Yadav, Sagar Makwana, Pandhari Yadav, Prof. Leena Raut, “Cursor Movement By Hand Gesture”, International Journal Of Engineering Sciences & Research Technology, ISSN: 2277-9655, 2017.

4. D. A. Barhate and K. P. Rane, "A Survey of Fingertip Character Identification in Open-Air Using Image Processing and HCI," 3rd International Conference for Convergence in Technology (I2CT) , pp. 1-4, 2018.

5. Mahajan J.R and C. S. Rawat, "Object Detection and Tracking using Cognitive Approach," 2017 International Journal of Scientific Research in Network Security and Communication (IJSRNSC), Vol.5, Issue.3, pp. 136-140, 2017.

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