Gesture recognition based mouse events
Rachit Puri

TL;DR
This paper introduces a gesture recognition system that enables control of mouse functions such as clicking and dragging through finger movement patterns, utilizing color markers and machine learning in MATLAB.
Contribution
It presents a novel gesture-based mouse control system using color markers and pattern recognition implemented in MATLAB, enhancing human-computer interaction.
Findings
Successfully recognized finger gestures for mouse control
Implemented in MATLAB with Windows 7 environment
Achieved accurate gesture recognition for various mouse events
Abstract
This paper presents the maneuver of mouse pointer and performs various mouse operations such as left click, right click, double click, drag etc using gestures recognition technique. Recognizing gestures is a complex task which involves many aspects such as motion modeling, motion analysis, pattern recognition and machine learning. Keeping all the essential factors in mind a system has been created which recognizes the movement of fingers and various patterns formed by them. Color caps have been used for fingers to distinguish it from the background color such as skin color. Thus recognizing the gestures various mouse events have been performed. The application has been created on MATLAB environment with operating system as windows 7.
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Taxonomy
TopicsHand Gesture Recognition Systems · Gaze Tracking and Assistive Technology · Human Pose and Action Recognition
