Drunk Person Screening using Eye Thermal Signatures

Abstract

Temperature distribution on the eyes of drunk persons is studied by means of thermal infrared images. The sclera and the iris are of the same temperature for the sober person, while for the intoxicated person, the sclera temperature increases. Consequently, only the thermal images from the drunk persons are necessary for intoxication screening. Forty-one participants drank in a controlled alcohol consumption procedure. Their breath alcohol concentration was above the threshold of 0.2 mg/L of exhaled air, which corresponds to about 0.5 mg of alcohol per cubic centimeter of blood. Histogram modification algorithms were employed to prove that for 36 among the 41 intoxicated persons, the sclera becomes hotter. The Student t-test verified with over 99% confidence the drunk discrimination capabilities of the procedure. The forensic science potential contribution of the method is that face infrared imagery is available to the authorities for supporting intoxication in case of criminal actions.

Prediction Model of Alcohol Intoxication from Facial Temperature Dynamics Based on K-Means Clustering Driven by Evolutionary Computing

“…In [18], Koukiou et al focused on facial blood vessels as one of the possible intoxication predictors of alcohol-intoxicated people analyzed based on anisotropic diffusion in combination with Top-Hat transformation. In [19], Koukiou et al analyzed the distribution of the eye area with the main goal of the iris and sclera temperature identification to recognize drunken people. In [23], Koukiou et al attempted to recognize drunkenness based on the application of the local difference patterns on the forehead with the goal of the extraction of significant alcohol features.…”

“…The subjects were calm, rested, and in normal psychological conditions. In [14,19], beer was replaced by 120 mL glasses of red wine (13% vol. ), of which 41 (31 males and 10 females) participants drank four in a one-hour time period, and acquisition occurred only at the beginning (sober), and 30 min after the last glass.…”

“…A mathematical model which is able to automatically extract the facial areas which the best reflect the level of alcohol intoxication would significantly contribute to the study of the dynamical alcohol effect on the human body, and at the same time such method would provide a contactless method for the measurement of alcohol intoxication. Nevertheless, we should consider its limitations: it identifies only the remaining alcohol, and various people may have different alcohol inclination, which may result in different thermal effects [17][18][19].…”

Fusion of Dissimilar Features from Thermal Imaging for Improving Drunk Person Identification

“…In the transformed space the within-scatter-matrix (S W ) is given by (5) The between-scatter-matrix S B reveals how much the centers of the clusters are separated. The evaluation of the between scatter matrix S B is realized as follows…”

“…In this paper, a fusion procedure is addressed, using features from [3] and [5], in order to increase reliability in identifying intoxication. Specifically: 1) A feature vector formed by simply taking 20 different points on the face of the person.…”