Development of communication support application with blinks

In this study, we try to develop a new application for physically handicapped children to communicate with others by a blink. Because of limited body movements and mental disorders, many of them cannot communicate with their families or caregivers. We think if they can use applications of smart phones by a blink, it will be big help for them to tell caregivers what they really need or want to say. 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 two methods, using saturation and using complexity of image, to get more accurate results of detecting a blink. The level of handicap is varied in children. So we are trying to develop the application to be able to customize depends on the situation of users. And also, we are trying to reduce the error in detecting a blink and pursue the high precision of the eye chased program.