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Advancements in Communication and Systems

Chalk-Free Instructions through Hand Gestures: Bridging the Gap in Digital Education

Authors: Rakhi Bharadwaj, Shreyash Bandi, Prathamesh Aldar, Rushikesh Borse and Purvesh Ahire


Publishing Date: 22-04-2024

ISBN: 978-81-955020-7-3

DOI: https://doi.org/10.56155/978-81-955020-7-3-24

Abstract

The transformation in the field of digital education from traditional classroom settings to remote and online learning has made creative solutions to overcome the physical gap between teachers and students necessary. The study offers a fresh solution to this problem by introducing an interactive platform that uses artificial intelligence, and real-time hand gestures to create a dynamic and immersive learning environment. The research revolves around the development of an "Air Canvas" powered by OpenCV, a versatile computer vision library. This system empowers users to draw and interact with digital content through intuitive hand gestures, addressing the limitations of traditional digital tools. The study introduces the persistence of drawings, AI-enhanced artwork generation using Variational Autoencoders (VAEs). Furthermore, it offers advanced features including color selection, collectively representing a significant leap in the field of digital education. Real-time persistence of drawings allows learners to save, revisit, and expand upon their digital creations. This functionality enhances the educational experience, enabling students to track their progress and receive personalized feedback. When users attempt to draw shapes like circles, character the VAE-based AI recognizes their intent and automatically generates precise shapes, enhancing the overall user experience. This research revolutionizes digital education with an interactive educational platform. By addressing the gaps in existing digital education tools, this study introduces unique objectives, enhancing the way learners interact with educational materials. It empowers learners of all ages to engage with content more dynamically, ultimately improving comprehension and retention.

Keywords

OpenCV, Digital education, Artificial intelligence, Variational Autoencoders (VAEs),real-time hand gestures, interactive educational platform, Computer vision.

Cite as

Rakhi Bharadwaj, Shreyash Bandi, Prathamesh Aldar, Rushikesh Borse and Purvesh Ahire, "Chalk-Free Instructions through Hand Gestures: Bridging the Gap in Digital Education", In: Ashish Kumar Tripathi and Vivek Shrivastava (eds), Advancements in Communication and Systems, SCRS, India, 2024, pp. 273-289. https://doi.org/10.56155/978-81-955020-7-3-24

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