harshaparida/gesturemouse

This project implements a real-time hand gesture mouse control system using computer vision techniques. It utilizes OpenCV for hand detection and gesture recognition, enabling users to control their computer mouse cursor and perform clicks through hand movements.

GestureMouse

Mouse Tracker using OpenCV and Hand Detection

This project implements a mouse tracker using a webcam, OpenCV, and a custom hand detection module. The tracker allows you to control your mouse cursor with hand movements and perform clicks using finger gestures.

Introduction

This project leverages computer vision and hand detection to control the mouse cursor on your computer. It uses OpenCV for image processing, PyAutoGUI for mouse control, and a custom hand tracking module.

Features

• Move Mouse Cursor: Move your mouse cursor by moving your index finger.
• Click: Perform a left click by bringing your index finger and middle finger close together.

Requirements

• Python 3.8+
• OpenCV 4.5.5
• PyAutoGUI 0.9.52
• NumPy 1.21.2

Installation

1. Clone this repository:

   git clone https://github.com/harshaparida/GestureMouse.git
   cd GestureMouse

2. Install the required packages:

   pip install -r requirements.txt

Usage

1. Run the script:

   python handTracking.py

2. Ensure your webcam is connected and functional.
3. Use your hand to control the mouse cursor:
   • Move Mouse Cursor: Extend your index finger to move the cursor.
   • Click: Bring your index finger and middle finger close together to perform a click.

Acknowledgments

• OpenCV for image processing.
• PyAutoGUI for mouse control.
• NumPy for numerical operations.