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@article{151463,
        author = {Akash Pandey and Ashish Dalal and Shaik Abdul Razzak and Dr. Punyaban Patel and Dr. Suwarna Gothane},
        title = {EYE GESTURE CONTROL SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {1},
        pages = {165-167},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151463},
        abstract = {Vision is probably the most important sense for human beings. As a consequence, our way of behaviour and thinking is also often based on visual information. When trying to perform complex information especially in situations where humans are involved, it is of great benefit if some information can be obtained from images. This is the field of image processing and computer vision. OpenCV is the library used in this project. It can also be used in Python programming language. Simple and complex image processing algorithms are available in the library. Face detection is one of them and face detection can be executed within python with OpenCV library. Now-a-days many people
are getting disabled with hands and any other disabilities by which a candidate cannot able to use keyboard and mouse. So, for disabled persons we had a thought on vision which can be responsible for controlling a computer using mouse and keyboard.  },
        keywords = {eyes gesture control system; eye tracking systems; mouse cursor; eye mouse; webcam; eye movement, Harr-cascade algorithm},
        month = {},
        }