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DeepLearning-_based_peripheral_controllor

Virtual Keyboard with Hand Tracking

Use python-v3.8

This project implements a virtual keyboard controlled by hand gestures using a webcam. Users can interact with the virtual keyboard by hovering their index finger over the keys and performing various actions such as typing, deleting, and pressing special keys.

Setup Instructions

  1. Install the required libraries:

    pip install opencv-python mediapipe pyautogui autopy

  2. Clone the repository:

    git clone https://github.com/yourusername/your-repository.git

  3. Navigate to the project directory:

    cd your-repository

  4. Run the main script:

    python main_script.py

Features

  • Virtual Keyboard: The virtual keyboard is displayed on the screen.
  • Hand Tracking: Hand gestures are detected using the MediaPipe library.
  • Typing: Users can type by hovering their index finger over the keys.
  • Deleting: The backspace key allows users to delete characters.
  • Special Keys: Special keys such as Caps Lock, Enter, Space, and Delete are supported.
  • Caps Lock: Users can toggle Caps Lock on and off.
  • Mouse Control: Hand gestures can also control the mouse cursor on the screen.

Files

  1. main_script.py: Contains the main functionality of the virtual keyboard and hand tracking.
  2. HandTrackingModule.py: Provides a class for hand detection and tracking using MediaPipe.
  3. profile_memory.py: Profiles memory usage of the main script and displays memory usage over time.

Usage

  1. Run the main_script.py file to start the virtual keyboard.
  2. Use your index finger to hover over the keys and perform actions.
  3. Press the 'ESC' key to exit the program.

Memory Profiling

The profile_memory.py script profiles memory usage of the main script over time and displays memory usage graphs segmented into three segments.

Notes

  • Ensure proper lighting conditions for optimal hand tracking.
  • Adjust the webcam position to capture hand movements accurately.