Gesture Control Cursor

Project Overview

This project features a computer vision application that converts hand gestures into mouse control using your webcam. The system tracks your hand movements in real-time and translates them into cursor actions - your index finger controls the cursor position, and raising your middle finger triggers clicks.

Built with Python, OpenCV, and MediaPipe, this touchless interface eliminates the need for physical mouse interaction. The application processes video frames continuously, detecting hand landmarks and mapping finger positions to screen coordinates with adjustable sensitivity settings.

Real-time Hand Tracking

Adaptive Sensitivity Control

2-3 feet Operating Range

Touchless Interaction

Video Demonstration

See gesture control in action - real-time cursor movement

Real Life Applications

Diverse applications demonstrating the flexibility of gesture-based control systems

Remote Control

Hand gestures can be used to control smart devices. This technology enables intuitive, touchless interaction with various connected systems throughout homes, offices, and public spaces.

Robotics

Control robots or drones easily in different environments, including factories and rescue missions. Hand gesture control provides hands-free operation that adapts to challenging conditions where traditional controllers may be impractical or unsafe.

Gaming

Immersive controls in virtual reality (VR) and augmented reality (AR) games. This serves as a foundation for more complex VR hand tracking systems.

Education and Training

Gesture-based controls can make lessons more engaging for students. This interactive technology transforms traditional passive learning into dynamic, hands-on educational experiences.

Technical Specifications

Detailed breakdown of the computer vision system and gesture recognition algorithms

Core Components

Hand Tracking: MediaPipe framework providing real-time hand detection for precise finger position tracking.
Video Processing: OpenCV-based video capture and frame processing system with optimized performance for real-time gesture recognition.
Gesture Recognition: Custom finger position analysis for detecting cursor movement commands and click gestures based on relative finger positioning.
Cursor Control Interface: PyAutoGUI integration for cursor movement and click event simulation with configurable sensitivity settings.
Click Detection: Finger positioning analysis determining click events through index and middle finger distance detection.

Technology Used

MediaPipe OpenCV PyAutoGUI NumPy