Research Paper on Machine Learning and Augmented Reality based Writing in Air

We use our hands constantly to interact with things: pick them up, move them, transform their shape, or activate them in some way. With the advancement of modern technologies areas related to robotics and computer vision, real time image processing and Object Tracking has become a major technology under consideration. By using open source computer vision library (OpenCV for short), an image can be captured on the bases of its hue, saturation and color value (HSV) range. The basic library functions for image handling and processing are used. Basic library functions are used for loading an image, creating windows to hold image at run time, saving images, and to differentiate images based on their color values. I have also applied function to threshold the output image in order to decrease the distortion in it. While processing, the images are converted from their basic scheme Red, Green, and Blue (RGB) to a more suitable one that is HSV. This project was an attempt at developing an object detection and tracking system. The project delivers an implemented tracking system. It is stable and is applicable as a stand alone system. In this project, we design a real-time human computer interaction system based on hand gesture. The whole system consists of three components: hand detection, gesture recognition and human-computer interaction (HCI) based on recognition. Considerable effort has been put towards developing intelligent and natural interfaces between users and computer systems. This is done by means of a variety of modes of information (visual, pen, etc.). The use of gestures as means to convey information is an important part of human communication. The automatic recognition of gestures enriches Hu-man–Computer Interaction by offering a natural and intuitive method of data input. Also, we summarize and discuss the main works proposed so far with particular interest on how they treat the temporal dimension of data, their high-lighting features, and opportunities and challenges for future research. The overall model is designed to be a simple gestural interface prototype for various PC applications.