• Mohammad Naveed Khan
• Sheikh Auqid Irfan
• Shah Faisal Ahmad
• Mr.Khalid Makhdoomi

In this project, we design a human computer interaction system using hand gestures. Hand gesture recognition (HGR) is a natural way of Human Machine Interaction and has been applied on different areas. Here we explore the use of hand gestures as a means of human-computer interactions for computer applications. Our goal is to make a system that will recognise a few sets of hand gestures and correspondingly realize the robust control of mouse cursor and mouse clicks with a higher accuracy of gesture recognition. More specifically it is the use of a convolution neural network (CNN) to recognize the hand gestures in even the harshest lightning/background conditions using only a simple webcam. We will try to adjust the cursor control to the relative movement of our specific gesture set for mouse movement and different mouse events like clicks to different gestures. The final system will be highly extendable and can be further implemented in advanced technologies like augmented reality (AR), virtual reality (VR) for easy and hassle-free navigation and control without the need for keyboard/mouse for computers and controllers for VR/AR headsets. Human Computer Interaction, Hand Gestures, CNN, Mouse Control.

Human Computer Interaction, Hand Gestures, CNN, Mouse Control.

"Mouse Cursor Control Using Hand Gesture Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 11, page no.c288-c295, November-2021, Available :http://www.jetir.org/papers/JETIR2111239.pdf

"Mouse Cursor Control Using Hand Gesture Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 11, page no. ppc288-c295, November-2021, Available at : http://www.jetir.org/papers/JETIR2111239.pdf