In this chapter, seven different approaches are presented for identifying persons who have consumed alcohol. The main concept is to identify a drunk person based on the thermal signature of his face. The thermal map of the face changes as the person consumes alcohol due to the increased activity of the blood vessels. The methods are mathematically supported and present high rate of identification success. The experimental material was based on a systematically created database which includes the thermal images of the drunk persons as well as the thermal images of the face of the corresponding sober persons. This database is freely available on the web and can be used by the scientific community. In each method, different features are extracted for intoxication identification. The advantage of the majority of the methods is that drunk identification can be achieved without employing the image of the sober person for comparisons. Accordingly, a commercial system incorporating some of the presented methods does not require the existence of a database with thermal images of sober faces, thus it will be capable to operate on unknown persons. The achieved identification success for each separate method is over 80%.
Part of the book: Human-Robot Interaction