Abstract
This project explores touchless interaction with computers using gesture recognition technology. By combining computer vision and gesture recognition, users can control their computers using hand gestures. The system uses a webcam for input, processes images with OpenCV, tracks hand movements with MediaPipe, and controls mouse and keyboard actions with PyAutoGUI. Users can perform various gestures like clicks, scrolls, and custom Open Paint gesture to control their computer. The project integrates with a paint application, allowing users to create digital art using their hand gestures, enhancing the overall user experience. Users can seamlessly control their computers by executing predefined gestures in the air, eliminating the limitations of conventional input device like mice. KEYWORDS - Gesture-based interaction, Human-Computer Interaction, MediaPipe, OpenCV, Paint Application, PyAutoGUI, Virtual mouse.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: EPRA International Journal of Research & Development (IJRD)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
