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@article{151088,
        author = {Neha Ramakrishnan and Jena Catherine Bel},
        title = {Virtual mouse using hand gesture},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {11},
        pages = {666-671},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151088},
        abstract = {Image Processing is a strategy to extract certain information from an image, so as a result it gets an upgraded image or some data can be extracted from the image. It is a kind of sign handling where input is an image and yield might be an image or qualities/highlights related with that image. These days, image processing is one among the quickly developing advancements. In this project hand gestures are used as a replacement of mouse. We will be using digital image processing in this project to retrieve necessary data from the image captured through the user’s web camera and implement it to the mouse interface of the computer according to predefined functions. User can be calibrate the color ranges of the three finger caps individually. It can be calibrated separately for all the three colors at the starting of the program. The user is provided with a default setting as well. It detects the centroid of the three color and decides what mouse action has to be done on their relative positions. Based on the detection, corresponding actions will be choosed and the mouse functions will be performed using the Python specific library PyAutoGUI. We can perform actions like left click, right click, scroll up, scroll down and drag. A camera catches your video and relying upon your hand motions, you can move the cursor and perform left-click, right-click, drag, select and look here and there. The predefined motions utilize just three fingers set apart by various hues},
        keywords = {Centroid Detection, Gesture, Image Processing, Virtual Mouse.},
        month = {},
        }