• Harini K
• Uma Maheswari

The evolution of Human-Computer Interaction (HCI) has been from punch cards to keyboards and mice, and it is now moving towards graphical-based user interfaces. With the aid of image processing and computer vision, this research intends to develop a graphical-based Artificial Intelligence (AI) controlled mouse pointer using hand gesture recognition. The goal of this work is to concentrate on the efficient development of a virtual HCI device using web cameras. The system could track and react based on simple, dynamic hand motions and movements. AI is used to follow the motion of the hand by placing anchor points all over the hand. To get beyond the limitations of optical and wireless mice, this could eliminate the use of mechanical devices and wires. In order to make the interaction more effective and dependable, this research intends to develop a vision-based system to control numerous mouse functions via hand gestures.

Artificial Intelligence (AI), Human-Computer Interaction (HCI), MediaPipe, landmark points, hand localization.

"AI Controlled Graphical Based Mouse Pointer Using Hand Gesture Recognition for Efficient Human Computer Interaction ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.c582-c587, July-2023, Available :http://www.jetir.org/papers/JETIR2307265.pdf

"AI Controlled Graphical Based Mouse Pointer Using Hand Gesture Recognition for Efficient Human Computer Interaction ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppc582-c587, July-2023, Available at : http://www.jetir.org/papers/JETIR2307265.pdf