The application of image processing for human-computer interface (HCI) using the eye

The field of Human-Computer Interaction (HCI) has been developing tremendously since the past decade. The existence of smartphones or modern computers is already a norm in society these days which utilizes touch, voice and typing as a means for input. To further increase the type of interaction, human eyes are set to be a good candidate for another form of HCI. The amount of information which the human eyes contain are extremely useful, hence, various methods and algorithm of eye gaze tracking are implemented in multiple sectors. However, some eye-tracking method requires infrared rays to be projected to the eye of the user which could potentially cause enzyme denaturation when the eye is subjected to those rays under extreme exposure. Therefore, to avoid potential harm from the eye-tracking method that utilizes infrared rays, this paper proposes image-based eye tracking using the Viola-Jones algorithm and Circular Hough Transform (CHT) algorithm. The proposed method uses visible light instead of infrared rays to control the mouse pointer using the eye gaze of the user. This research aims to implement the proposed algorithm for people with hand disability to interact with computers using their eye gaze via a computer webcam which make use of the data extracted from the location of the iris detected. The MATLAB software was used to code the program by using the two algorithms which are the Viola-Jones algorithm and CHT algorithm for face, eye, and iris detection. The location of the iris detected indicates the direction of a person’s point of gaze which will move the mouse pointer accordingly. This proposed method will allow people with or without hand disability to control the mouse pointer by using their eye gaze and can also be applied in other areas of study.