Detecção da alcoolemia por meio da pupilometria dinâmica

• Ano de defesa: 2016
• Autor(a) principal: Pinheiro, Hedenir Monteiro
• Orientador(a): Costa, Ronaldo Martins da
• Banca de defesa: Costa, Ronaldo Martins da, Laureano, Gustavo Teodoro, Melo, Cinthia Mendonça de
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Goiás
• Programa de Pós-Graduação: Programa de Pós-graduação em Ciência da Computação (INF)
• Departamento: Instituto de Informática - INF (RG)
• País: Brasil
• Palavras-chave em Português: Pupilômetro; Pupilometria; Pupila; Iris; Álcool; Álcool no sangue; Pupillometer
• Palavras-chave em Inglês: Pupillometry; Pupil; Iris; Alcohol; Blood alcohol detection
• Área do conhecimento CNPq: CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAO
• Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/5925

The consumption of alcohol beverages causes disturbance to society, such as traffic accidents, problems at work and interpersonal violence. The main methods for the detection of alcohol are the use of a breathalyzer and a blood test. Such methods are, however, relatively invasive. The purpose of this work is to develop a portable device and a method capable of performing the dynamic pupillometry to verify the feasibility of detect alcohol use by means of recording pupillary movements under light stimulation. After the device creation, was recorded and collected biometric information of 49 people in sober and inebriated state, producing a database with 356 video. So were selected the most relevant pupillary features. This set of features was subjected to statistical tests and pattern recognition algorithms KNN, Ensemble KNN and SVM. The results showed that pupillometry was performed efficiently with 96% accuracy, the alcohol changes the pupillary behavior and detecting alcohol consumption is feasible when the analysis is done individually and with many videos.