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Hand Gesture-Based Virtual Drawing   Application

Kaushik Roy Choudhury, Tanay Das, Animesh Adhikary, Aagnik Bose, Amrit Hazra

Mr. Kaushik Roy Choudhury, presently working as a Professor at JIS College Of Engineering, Kalyani.

Tanay Das, Animesh Adhikary, Aagnik Bose, Amrit Hazra are third year UG student of Computer Science and Engineering from JIS College Of Engineering,

Kalyani. Department of Computer Science and Engineering, JIS College of Engineering, Kalyani, Nadia, West Bengal, India

Abstract : This project proposes the development of a hand gesture-based virtual drawing application utilizing advanced computer vision techniques. Leveraging the capabilities of OpenCV and MediaPipe, along with a standard webcam, the application enables users to draw on a virtual canvas by detecting and interpreting hand gestures. This approach offers an interactive and intuitive drawing experience, making it particularly beneficial for educational and creative applications. The system integrates real-time hand tracking, dynamic color selection, and gesture recognition to control the drawing process. MediaPipe's hand tracking algorithm ensures precise detection of hand landmarks, while OpenCV handles video capture, image processing, and interface rendering. Users can perform various actions such as drawing lines, selecting colors, and clearing the canvas using simple hand gestures. The application was tested for accuracy, responsiveness, and user experience. Results demonstrated high accuracy in hand tracking, minimal latency in real-time processing, and positive user feedback regarding ease of use and interaction fluidity. While the system performed well under various conditions, areas for improvement include handling extreme lighting, complex backgrounds, and expanding the range of gestures. This project exemplifies the potential of gesture-based interfaces to enhance human- computer interaction, offering a novel and engaging platform for virtual drawing. The successful implementation of this system provides a foundation for further innovations in gesture recognition technology and its applications in diverse fields.

IndexTerms - Hand Gesture Recognition, Virtual Drawing Application, Computer Vision, OpenCV, MediaPipe, Real-Time Hand Tracking, Dynamic Color Selection, Gesture-Based Interface, Human-Computer Interaction, Image Processing.