Hand Gesture Based Virtual Blackboard Using Webcam

The hand gesture recognition technology brought a new era to the artificial intelligence branch of human-computer interaction. This initiative will nevertheless provide a more natural and dynamic form of communication by use of gestures. The gesture is made by the user who is detected by the machine via the image processing and the operation unique to the machine is carried out, thereby eliminating the requirement of any hardware input device. In the application is included an additional database of distinct gestures. The entire system is greatly dependent on the surrounding lighting condition. A well-lit room is a must as the major constraint system. The system utilizes nothing but a camera with good quality and can follow the hand of the user in 2 dimensions and identify up to four mouse-defined hand motions. The input picture from the camera is transformed first into the color space of HSV, which detects the skin and removes the backdrop. The edge detection is then done in order to get the contour of the hand utilized to track the hands and to recognize gesture. This application will detect the numbers written by hand gestures. This will work as a virtual blackboard where numbers and letters can be written by using gesture. The purpose of this post is to create a virtual blackboard which can be used to make online confrontation by moving fingers as the hand gesture. Everyone will help to reduce the use of a whiteboard or smart whiteboard. This application will add a new era of HCI implementation in educational purpose. Experiments will demonstrate that implementation is sufficiently dependable for practical application.