The Gesture-Controlled Suite provides a hands-free, gesture-driven experience to control various computer functions, enhancing productivity and accessibility. With intuitive hand gestures, users can seamlessly perform tasks like screen recording, taking screenshots, text extraction, and more, including controlling presentations and typing on a virtual keyboard—without the need for traditional input devices.
This suite is designed for anyone looking to redefine their interaction with technology, including professionals, students, and users with accessibility needs. The Gesture-Controlled Suite brings advanced gesture recognition to make human-computer interaction more natural, efficient, and engaging.
- Features: Screen recording, screenshot capture, webcam photo capture with brightening, and real-time text extraction (OCR).
- Description: Allows for easy, gesture-based control over computer functions, eliminating the need for keyboard shortcuts or mouse actions.
- Features: Control PowerPoint presentations with gestures to move slides forward, backward, or stop the presentation.
- Description: Enables users to seamlessly control their presentations without touching the keyboard or mouse, ideal for a professional, hands-free presentation experience.
- Features: A gesture-driven virtual keyboard allowing typing on the screen with specific hand movements.
- Description: Provides an alternative input method for typing, using hand gestures to select characters, improving accessibility and enabling users to type without a physical keyboard.
- Features: Emotion detection to identify signs of panic, anger, or fear, automatically disabling the camera during stressful situations.
- Description: The Panic Button tool detects facial expressions and automatically turns off the camera in Google Meet if negative emotions like panic or fear are detected. It ensures privacy and control during intense virtual meetings, giving users a discreet escape from overwhelming situations.
Traditional interaction methods are increasingly insufficient for the flexible needs of modern digital users. The Gesture-Controlled Suite aims to introduce intuitive, natural interaction methods through advanced gesture recognition, fostering a more engaging experience that reduces the dependence on physical input devices. This suite is particularly valuable in scenarios requiring hands-free operation or enhanced accessibility.
Explore the Gesture-Controlled Suite in action! Watch a demo showcasing the suite's key features, including gesture-controlled screen recording, virtual keyboard, and presentation control:
Watch the Demo Video on Google Drive
Follow these steps to set up the Gesture-Controlled Suite:
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Clone the Repository
git clone https://github.com/THE-DEEPDAS/Gesture-Control-Suite cd Gesture-Control-Suite -
Install Required Dependencies Ensure Python and necessary libraries (such as OpenCV and mediapipe) are installed.
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Run the Application
python main.py
This project provides a foundation for further advancements in gesture-based human-computer interaction, with potential applications in accessibility, augmented reality, and remote operation. Future work could explore additional gestures, improve gesture recognition accuracy, and expand functionalities.
Contributions are welcome! Please fork the repository, create a new branch for your changes, and submit a pull request.
This project is licensed under the MIT License.