Author:
Powar Salonee,Kadam Shweta,Malage Sonali,Shingane Priyanka
Abstract
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.
Reference10 articles.
1. Jadhav D., Prof. Lobo L.M.R.J., Hand Gesture Recognition System To Control Slide Show Navigation IJAIEM, Vol. 3, No. 4 (2014)
2. Harika M., Setijadi A. Hindersah P.H., FingerPointing Gesture Analysis for Slide Presentation, Bong-Kee Sin Journal Of Korea Multimedia Society, Vol. 19, No. 8, August (2016)
3. Wahid F. Md., Tafreshi R., Al-Sowaidi M., Langari R., An Efficient Approach to Recognize Hand Gestures Using Machine-Learning Algorithms, IEEE 4th MECBME, (2018)
4. Lawrence D.O., and Ashleigh M.J., Impact Of Human-Computer Interaction (Hci) on Users in Higher Educational System: Southampton University As A Case Study, Vol.6, No 3, pp. 1–12, September (2019)
5. Dhall I., Vashisth S., Aggarwal G., Automated Hand Gesture Recognition using a Deep Convolutional Neural Network, 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence), (2020)
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