A Web Browsing System by Eye-gaze Input
Recently, the eye-gaze input system was reported as a novel human-machine interface. The operation of this system only requires user eye movement. Using this system, many communication aid systems have been developed for people with severe physical handicaps, such as ALS patients. We have reported a new eye-gaze input system already. It utilizes a personal computer and a home video camera to detect eye-gaze under natural light. In this paper, we propose a new web browsing system for our conventional eye-gaze input system. Eye-gaze input system has to detect gaze direction of users. Our eye-gaze input system runs an image analysis software for eye-gaze detection. The overview of our eye-gaze detection methods is shown in Fig.1 On horizontal eye-gaze detection, the detecting method uses the difference in reflectance between the iris and the sclera; this is estimated by the difference of integral value of the brightness on area A and B, shown in Fig.1(a). On vertical eye-gaze detection, we draw attention to the vertical movement of iris. The light intensity distribution from eye image changes with iris movement. The vertical eye-gaze can be detected using this change, shown in Fig.1(b). In this paper, we propose the web browsing system using above detection methods. Hardware configuration and