Hand Gesture Real Time Paint Tool - Box

TL;DR

This paper presents a real-time hand gesture recognition system using machine learning and computer vision to enable touchless interaction for drawing, moving, and rotating objects, enhancing human-computer interaction.

Contribution

It introduces a novel machine learning-based hand gesture recognition method integrated with computer vision for real-time touchless control applications.

Findings

Effective gesture recognition accuracy demonstrated

Real-time performance achieved in application scenarios

Multiple gesture-based functionalities implemented

Abstract

With current development universally in computing, now a days user interaction approaches with mouse, keyboard, touch-pens etc. are not sufficient. Directly using of hands or hand gestures as an input device is a method to attract people with providing the applications, through Machine Learning and Computer Vision. Human-computer interaction application in which you can simply draw different shapes, fill the colors, moving the folder from one place to another place and rotating your image with rotating your hand gesture all this will be without touching your device only. In this paper Machine Learning based hand gestures recognition is presented, with the use of Computer Vision different types of gesture applications have been created.