This study proposes a method for measurement and visualization of eye blinking patterns using dynamic vision image. The dynamic vision data is the outputs of only the pixels with temporal luminance changes. Eye blinking analysis using dynamic vision data for can significantly reduce the time cost of comparing consecutive frames to find eyelid changes. In addition, image processing for analysis is simplified because the data is gray-scale image and does not include unnecessary data for analysis such as background or accessories worn by examinee. The shape and position of an upper eyelid are estimated from the dynamic vision data from which unnecessary data and noise has been removed. And the changes of the eyelid during a blinking sequence are visualized as a single image. The result image makes it easier to analyze the eye blinking patterns at a glance.