Gesture Palette: A Virtual Painting Website

The era of digital technology has ushered in a new age where people with mobility challenges can access digital content without touching a screen or any device. In this era, there is a growing demand for cleaner, more user-friendly interfaces while enhancing accessibility for individuals facing mobility challenges. The main aim of this research is to create a revolutionary touch-less digital canvas that offers a fresh solution for hygiene, accessibility, and creative expression needs. This project explores emerging concepts like haptic feedback and 3D hand tracking, aiming to push the boundaries of user interaction. In this research work a user interface has been developed that not only looks aesthetically pleasing but also feels intuitive and engaging. Additionally, this incorporates machine learning and AI techniques to reduce errors and ensure swift interpretations of user gestures. This project, rooted in deep learning and cutting-edge technologies, builds upon prior research in human-computer interaction while offering a glimpse into a future where digital interactions are not just technological but also more inclusive and creative, setting the stage for a touch-less digital era.

Authors

Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icisaa62385.2024.10829092
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Gesture Palette: A Virtual Painting Website

Siddhant Bodake, Suraj N. Mali, Uma Gurav, Savita Yadav et al.
Hand Gesture Recognition Systems
article

Gesture Palette: A Virtual Painting Website

Siddhant Bodake, Suraj N. Mali, Uma Gurav, Savita Yadav, Akanksha Arsekar
article en

Abstract

The era of digital technology has ushered in a new age where people with mobility challenges can access digital content without touching a screen or any device. In this era, there is a growing demand for cleaner, more user-friendly interfaces while enhancing accessibility for individuals facing mobility challenges. The main aim of this research is to create a revolutionary touch-less digital canvas that offers a fresh solution for hygiene, accessibility, and creative expression needs. This project explores emerging concepts like haptic feedback and 3D hand tracking, aiming to push the boundaries of user interaction. In this research work a user interface has been developed that not only looks aesthetically pleasing but also feels intuitive and engaging. Additionally, this incorporates machine learning and AI techniques to reduce errors and ensure swift interpretations of user gestures. This project, rooted in deep learning and cutting-edge technologies, builds upon prior research in human-computer interaction while offering a glimpse into a future where digital interactions are not just technological but also more inclusive and creative, setting the stage for a touch-less digital era.

Openalex Percentile: Top 74%
Hand Gesture Recognition Systems
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