Dynamic Sensing of Human Eye

This paper challenges the dynamic based diagnosis (see Fig. 1) of human eye. Through a high speed motion capture during an air jet applied to a human eye, the eye dynamics including stiffness and damping is evaluated. By utilizing both the eye pressure and the dynamic parameters, we can increase the reliability of the eye diagnosis. We show that each subject has his (or her) own impedance parameters and that stiffness is an important index for guaranteeing the validity of eye pressure sensing.