Mouse Control Using Human Tracking and Gestures Welcome to the Mouse Control Using Human Tracking and Gestures repository! This project demonstrates innovative methods to control a computer mouse using Python, leveraging computer vision and hand/eye tracking techniques.
Projects Overview
- Eye Tracking and Gesture Control This program allows users to control the mouse pointer using eye movements and gestures. By analyzing real-time video input from a webcam, it tracks the user's eyes to guide the cursor's position and detects specific gestures to perform mouse actions like clicking or scrolling.
Key Features:
Cursor movement guided by eye gaze direction. Gesture-based commands for left-click, right-click, and drag operations. Implements computer vision techniques using OpenCV and other Python libraries. 2. Index and Thumb Finger Tracking This program uses hand tracking to control the mouse pointer. By detecting and tracking the index finger and thumb, users can move the cursor and execute gestures for mouse actions.
Key Features:
Cursor control via the relative position of the index finger and thumb. Pinch gesture for clicks and drag functionality. Optimized for responsiveness and minimal lag using Python libraries like Mediapipe and OpenCV.
Getting Started
Prerequisites
To run these projects, ensure you have the following installed: Python 3.7 or later OpenCV (pip install opencv-python) Mediapipe (pip install mediapipe) Pyautogui (pip install pyautogui)
Applications
Hands-free computer navigation for accessibility. Gesture-based controls for gaming or virtual reality applications. Exploration of human-computer interaction using vision-based methods.
Future Enhancements
Add support for multitouch gestures. Integrate voice commands for a hybrid control system. Improve accuracy and robustness across diverse lighting conditions and camera setups.
Contributions
Contributions are welcome! If you have suggestions for improvements or additional features, feel free to open an issue or submit a pull request.
Acknowledgments
Built with inspiration from cutting-edge research in computer vision and human-computer interaction. Powered by open-source libraries like OpenCV and Mediapipe.