Abstract
In all modern society the increase in alcohol consumption has caused many problems and the potential harmful effects of alcohol on human health are known. There are some ways to identify alcohol in a person, but they are invasive and embarrassing for people. This work proposes a new non-invasive and simple test to detect use of alcohol through of pupillary reflex analysis. The initial results present rates near 85% in the correct identification using algorithms for pattern recognition, demonstrating the efficacy of the test method.
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Pinheiro, H. M., da Costa, R. M., Camilo, E. N. R., Soares, A. da S., Salvini, R., Laureano, G. T., … Hua, G. (2015). A new approach to detect use of alcohol through iris videos using computer vision. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9280, pp. 598–608). Springer Verlag. https://doi.org/10.1007/978-3-319-23234-8_55
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