Abstract
In recent years, the feature analysis of eye blink by counting its number or measuring its speed has been attracted from a viewpoint of the human health indicators to measure the degree of sleepiness, the degree of fatigue, and so on. However, previously reported non-contact measurement systems don't have enough temporal accuracy to measure the feature of blink which is observed in the period between 100ms to 200ms, because most of previous measurement systems used CCD camera with 30fps (frame per second). In this report, we have constructed a noncontact, high-speed and high-accurate blink measurement system by employing an intelligent vision sensor with image-capturing and processing of 1,000fps. We have measured the features of blink such as the maximum speed, duration time, displacement at close/open eye, from the position of the eyelid. We have also evaluated those features before and after VDT load task. We confirmed the maximum speed deterioration at the close-eye of blink on the task of continuously blink as fast as possible.
