Media Control Using Hand Gestures


  • Mrigank Singh Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Lucknow Campus, India
  • Dr. Sheenu Rizvi Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Lucknow Campus, India



Artificial Intelligence, Deep Learning, Computer Vision, OpenCV, Python


The corporate world today basically relies on presentations of ideas and statistics. In the board room, the presenters are highly conscious of depicting confidence in their presen-tation. This would entail accessibility and mobility to the presenter or media viewer. As the extent of Artificial Intelligence is increasing in all directions, I am utilizing its extreme capabilities to create a software that would help in accessibility and save time and money. This paper describes a software written in Python 3.8 and makes use of Python libraries like OpenCV and PyAutoGUI to receive input from the computer’s Webcam and recognize gestures to control the PowerPoint Presentation and Portable Document For-mat (PDF) files or the Media Control. The user interface is built with the Python library PyQt5. This paper aims are to help people control their Presentations and Portable Document Format (PDF) files, and many other media through their hand gestures, without using a mouse or any other pointing device. The software would not require any other external hardware; hence it would not burn a hole in people’s pockets.


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How to Cite

M. Singh and S. Rizvi, “Media Control Using Hand Gestures”, J. Infor. Electr. Electron. Eng., vol. 2, no. 1, pp. 1–11, Mar. 2021.




Research Article