Experiments on Detection of Drinking from Face Images Using Neural Networks

This paper proposes a method to detect drinking state of a driver by using a camera, in order to prevent drunken driving. The method detects whether a driver has drunken alcohol or not by using face images and their parts captured by a camera. In experiments, a 3-layered neural network is employed to detect drinking and determine the parts of a face useful for detection. Through experiments the accuracy of the method is shown and is compared with that by the decision tree C4.5. It is also shown that parts, cheek, neck, and hand is useful to detect drinking.