Hardware Control System of Eye Movements by Automatic Selection of Control Laws Using Neural Networks
Eye movements are realized as an electromechanism by controlling its optic axis according to the movement types of an object using artificial neural network. In order to realize basic optic axis movements, by which a moving object can be caught in a central pit of retina, an oculomotor machine is developed for independent horizontal movements of a head and an eyeball. The image output from the CCD camera used as a function of eyeball is fed to the control of a servomotor instead of muscles of eyeball to realize eye movements. The mechanism of head rotation is linked through bearings to the neck of an oculomotor machine. An acceler ometer is used for a function of semicircular ducts in order to predict possible displacement of a head rotation. The oculomotor machine is controlled for the realization of saccadic and smooth pursuit eye movements as autokinesis and compensatory eyemovement as a reflex with improvement of their control performances and automatic selection of an appropriate control law according to the movement types of an object, applying structuralized neural network information processing system.