ITM Web Conf.
Volume 44, 2022International Conference on Automation, Computing and Communication 2022 (ICACC-2022)
|Number of page(s)||6|
|Published online||05 May 2022|
Automated Digital Presentation Control using Hand Gesture Technique
1 Department of Information Technology, RAIT, D.Y. Patil Deemed to be University Nerul
2 Department of Information Technology, RAIT, D.Y. Patil Deemed to be University Nerul
3 Department of Information Technology, RAIT, D.Y. Patil Deemed to be University Nerul
4 Department of Information Technology, RAIT, D.Y. Patil Deemed to be University Nerul
In today’s digital world Presentation using a slideshow is an effective and attractive way that helps speakers to convey information and convince the audience. There are ways to control slides with devices like mouse, keyboard, or laser pointer, etc. The drawback is one should have previous knowledge about the devices in order to manage them. Gesture recognition has acquired importance a couple of years prior and are utilized to control applications like media players, robot control, gaming. The hand gesture recognition system builds the use of gloves, markers and so on However, the utilization of such gloves or markers expands the expense of the system. In this proposed system, Artificial intelligence-based hand gesture detection methodology is proposed. Users will be able to change the slides of the presentation in both forward and backward directions by just doing hand gestures. Use of hand gestures cause connection simple, helpful, and doesn’t need any additional gadget. The suggested method is to help speakers for a productive presentation with natural improved communication with the computer. Specifically, the proposed system is more viable than utilizing a laser pointer since the hand is more apparent and thus can better grab the attention of the audience.
Key words: OpenCV / Hand Gesture Recognition / Human Computer Interaction / Machine learning / Artificial Intelligence / Presentation Slides / Media Control / Virtual Pointer
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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