• SWATHI A

1. Accurate Hand Detection: Develop a robust system capable of accurately detecting and tracking hand movements in real-time using a camera or sensor. 2. Gesture Recognition: Implement algorithms to recognize a variety of hand gestures, which will be translated into drawing commands on the virtual canvas. 3. Real-time Processing: Ensure the system processes video frames and updates the canvas in real- time to provide immediate feedback and interaction for the user. 4. User-Friendly Interface: Create an intuitive and responsive user interface that allows users to easily interact with the virtual canvas using natural hand gestures. 5. Scalability and Flexibility: Design the system to be scalable, allowing for the addition of more complex gestures and functionalities in the future. Ensure it is flexible enough to adapt to different hardware and use cases

"Air Canvas Hand Tracking", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.g439-g466, November-2024, Available :http://www.jetir.org/papers/JETIR2411643.pdf

"Air Canvas Hand Tracking", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. ppg439-g466, November-2024, Available at : http://www.jetir.org/papers/JETIR2411643.pdf