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Hand Gesture Controls for PPT Presentations

  • July 03, 2023
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Meet the Author : Mr. Bharani Kumar

Bharani Kumar Depuru is a well known IT personality from Hyderabad. He is the Founder and Director of Innodatatics Pvt Ltd and 360DigiTMG. Bharani Kumar is an IIT and ISB alumni with more than 17 years of experience, he held prominent positions in the IT elites like HSBC, ITC Infotech, Infosys, and Deloitte. He is a prevalent IT consultant specializing in Industrial Revolution 4.0 implementation, Data Analytics practice setup, Artificial Intelligence, Big Data Analytics, Industrial IoT, Business Intelligence and Business Management. Bharani Kumar is also the chief trainer at 360DigiTMG with more than Ten years of experience and has been making the IT transition journey easy for his students. 360DigiTMG is at the forefront of delivering quality education, thereby bridging the gap between academia and industry.

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K-NN Classification is used to recognise various hand gestures and control PowerPoint presentations.

The interface between people and computers nowadays heavily relies on gesture recognition. To make it easier for people and computers to communicate simply and easily, It is possible to interface with machines using gestures rather than tools like computers, laser pens, etc. Users of the proposed system may operate the SLIDESHOW Presentation using four straightforward gestures without ever touching the PC.

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The slide-show display is exclusively controlled by static hand motions in the suggested method. These motionless hand movements are segmented before being analysed further. The image may be used to extract Histogram-of-gradient feature after segmentation and processing. After HOG feature extraction, the extracted features are compared using k-nearest neighbour classification to the characteristics of the gesture picture recorded in the database. The slideshow is managed and the relevant action in relation to that specific gesture is executed.

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Hand Gesture Controls for PPT Presentations

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