Abstract
This research examined the feasibility of detecting sleepiness using expression features. About seven distances between facial feature points were set up as expression features based on the movement of expression muscles. The facial feature points were detected by pattern recognition using an Active Appearance Model (AAM). A sleeping experiment using a driving simulation task was conducted to measure the correlation between sleepiness levels and expression features, and then determine the feasibility of sleepiness detection.
