• Suyash Joshi
• Omkar Bedake
• Rutvik Bonde
• Laksh Gujarati
• Prof.S.U.Mali

The invention of the computer has been a turning point in history. It makes our day-to-day life much simpler. The way to communicate with a computer i.e., Human-Computer Interaction (HCI), is through input and output devices. The mouse is one of the input devices. Mouse is an important part of Human-Computer Interaction (HCI). With evolving technology, the cursor can be controlled without physical mouse hardware but using the tip of a finger, hand gestures, etc. These hand movements can be recorded through a webcam. The movement of the cursor can also be controlled by color detection or fingertip tracking using a webcam. This new era of technology is useful in many fields, in many situations. This can be accomplished using extra hardware components or developing a software system. This is achieved through various image processing techniques and gesture recognition techniques without extra hardware. In this paper, we have proposed a system that uses a hand gesture recognition-based Convolutional Neural Network (CNN) model for controlling the mouse.

Virtual mouse, Hand Gesture Recognition, CNN model

"Survey Paper on the Development of Virtual Mouse Using Hand Gesture", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.c203-c207, November-2023, Available :http://www.jetir.org/papers/JETIR2311229.pdf

"Survey Paper on the Development of Virtual Mouse Using Hand Gesture", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppc203-c207, November-2023, Available at : http://www.jetir.org/papers/JETIR2311229.pdf