Abstract
In this paper, a human–computer interface system using eye motion is implemented. In traditional methods, human–computer interfaces use keyboard, mouse as input devices. A hand-free interface between computer and human is represented in this paper. The system is developed using template matching and is a real time, fast and affordable technique for tracking facial features and eye gestures. The traditional computer screen pointing devices can be replaced by this technology, for the use of disabled people. The paper presents computer mouse cursor movement with human eyes. Wherever the eyesight focuses, accordingly the mouse is controlled. The proposed vision-based virtual interface controls the system by various eye movements such as eye blinking, winking of eye.
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Ghadekar, P., Korpal, P., Chendake, P., Bansal, R., Pawar, A., Bhor, S. (2021). Real-Time Hands-Free Mouse Control for Disabled. In: Swain, D., Pattnaik, P.K., Athawale, T. (eds) Machine Learning and Information Processing. Advances in Intelligent Systems and Computing, vol 1311. Springer, Singapore. https://doi.org/10.1007/978-981-33-4859-2_16
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DOI: https://doi.org/10.1007/978-981-33-4859-2_16
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