A Real time Hand Gestures Controlled Smart Classroom Environment

Abstract

The Hand Gestures Controlled Classroom Environment project aims to replace physical mouse devices with a hand gesture-based control system for performing all cursor functions. This project utilizes computer vision techniques and machine learning algorithms to recognize hand gestures and control the cursor movements accordingly. With the help of a camera attached to a computer, the system captures and analyses the hand gestures of the user, and performs actions like clicking, scrolling, and dragging. This system can be implemented in a classroom environment, where the teacher can control the presentations and other multimedia materials by just using hand gestures, eliminating the need for a physical mouse. The project has been implemented using Python programming language, OpenCV, and Media pipe libraries. The proposed system can be a useful tool where traditional input methods can be difficult or impractical in certain classroom contexts, such as when presenting or teaching from a distance.