🤲 Hand Gesture Recognition 🅰️🅱️

This project uses the MediaPipe library to detect and recognize hand gestures and identify letters of the alphabet from A to E. The application uses the camera to capture hand gestures in real-time and displays the corresponding letters on the screen.

✨ Features

• Gesture Recognition 🤖: Through the camera, the system identifies hand gestures representing the letters A to E.
• Drawing Landmarks ✍️: MediaPipe draws the hand landmarks, allowing for a clear visualization of what is being processed.
• Letter Display 🔠: When a gesture is recognized, the corresponding letter is displayed on the screen.
• Real-time Video Feed 📹: The video feed is processed in real-time, and the letters are updated as the gestures are detected.

🛠️ Technologies Used

• Python 3.x 🐍
• OpenCV 📸: For video capture and image processing.
• MediaPipe ✋: For detecting and analyzing hand landmarks.
• Matplotlib 📊 (if needed for graph display, though not used in this specific code).

⚙️ Requirements

Make sure you have the following Python packages installed:

• opencv-python
• mediapipe
• math (integrated in Python)

You can install the dependencies with the following command:

pip install opencv-python mediapipe

🚀 How to Use

1. Connect Your Camera 📷: Ensure your camera is connected to your device. The code uses the camera located at /dev/video1. If necessary, adjust to the correct device.

2. Run the Script ▶️: Simply run the Python file. The script will open a window showing the video feed from your camera with the hand gestures being processed in real-time.

   python hand_gesture_recognition.py

3. Recognized Gestures 🤲:

   • A: Thumb up and index finger bent.
   • B: All fingers extended and together.
   • C: A "C" shape with the hand.
   • D: Thumb bent and the other fingers extended.
   • E: All fingers curled over the palm.

4. Close the Application ❌: To close the application, simply press the q key while the window is open.

🧑‍💻 Code Structure

• distance(a, b): Function to calculate the Euclidean distance between two points.
• Letter Identification Functions 🔠: The functions is_letter_a(), is_letter_b(), is_letter_c(), is_letter_d(), and is_letter_e() are responsible for checking if the hand gestures correspond to one of the letters A to E.
• Video Capture and Image Processing 📸: The code captures images from the camera, converts them to RGB, and processes them using MediaPipe to detect hand landmarks.
• Letter Display 🔠: If a corresponding gesture is identified, the name of the letter is displayed on the screen.