System and method for detecting gaze direction

We try to develop a support application for physically handicapped children to communicate with others by blinks. Fist, we try to detect an eye area by using OpenCv. Then we develop the way to detect opening and closing of eyes. We combine the method using saturation and using complexity of image to get more accurate results to detect blinks. Then we develop the technique into a communication application that has the accurate and high-precision blink determination system to detect letters and put them into sound. Then we applied this highly precise blink detection method to developing the non-contact communication support tool which judges the eye direction from ocular movement. We combine eyes direction and blink to choose a letter. This blink determination and gaze detraction detecting made it possible to choose letters remarkably fast. Furthermore, we digitized blurring of the vibration of the center point of the right and left eyes by the comparison with the afterimage and replaced middle point of the amount of change with scatter diagram and distinguished the state of the subject. We will find association with fatigue degree, sleep shortage and an intensive degree and the blurring of the eyeball vibration of right and left using neural network in future.