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Abstract

The main objective of our project is to compensate people who have hand disabilities that prevent them from using the mouse by designing an application that uses facial features (nose tip and eyes) to interact with the Computer. Eyes were used to simulate mouse clicks, so the user can fire their events as the person blinks. Eyes were used to simulate mouse clicks, so the user can fire their events as he blinks. While different devices were used in HCI (e.g. infrared cameras, sensors, microphones) we used an off-the-shelf webcam that affords a moderate resolution and frame rate as the capturing device in order to make the ability of using the program affordable for all individuals. Trying to present an algorithm that distinguishes true eye-blinks from the involuntary ones. It detects and tracks the facial features abruptly, thereby fast enough to be applied in real-time. The human face of different races that can be captured with the help of night vision camera that detects the facial features correctly and translates it in to some events which are further used to communicate with the computer.

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How to Cite
M.Deepika, P.Harish Kumar, M.Ramya, & E.Padma. (2018). Vision based eye blink monitoring system for human computer interaction . International Journal of Intellectual Advancements and Research in Engineering Computations, 6(2), 1695–1700. Retrieved from https://ijiarec.com/ijiarec/article/view/719