Published Paper Details:

Video conference has recently become increasingly popular in all fields. With the rise in demand of the video conference it is necessary to improve this further. So, a hand gesture recognition system is proposed that allows the user to control the video conference using hand gestures. The hand gestures can be used to control the platform of video conference, in addition to this, hand gestures can be used to enable air writing in video conference. Hand detection is done by using media pipe. A specially designed software identifies meaningful gestures from a predetermined gesture library where each gesture is matched to a computer command for the conference. This way hand gestures become the input to obtain the outputs of the video conference. The proposed system also provides air writing feature using hand gesture recognition. Writing in air can be defined as to write digits or character in a virtual space by using a finger. The proposed system uses an air-writing character recognition using a convolutional neural network (CNN). For this, an air canvas will be built on which we can draw anything by just capturing the motion of a finger-tip using a camera.