Biometric Authentication with Electroencephalograms: Evaluation of Its Suitability Using Visual Evoked Potentials

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2011

Autores

Zuquete, A (Autor) Outra; Quintela, B (Autor) Outra; Cunha, JPS (Autor) FEUP

Ata de Conferência Internacional

Título: Communications in Computer and Information Science

Páginas: 290-306

3rd International Joint Conference on Biomedical Engineering Systems and Technologies

Valencia, SPAIN, JAN 20-23, 2010

Indexação

ISI Web of Knowledge - 5 Citações

Scopus - 7 Citações

Outras Informações

ID Authenticus: P-002-Y3Q

DOI: 10.1007/978-3-642-18472-7_23

Abstract (EN): This paper studies the suitability of brain activity, namely electroencephalogram signals, as raw material for conducting biometric authentication of individuals. Brain responses were extracted in particular scenarios, namely with visual stimulation leading to biological brain responses known as visual evoked potentials. In our study, we evaluated a novel method, using only 8 occipital electrodes and the energy of differential EEG signals, to extract information about the subjects for further use as their biometric features. To classify the features obtained from each individual we used a one-class classifier per subject. These classifiers are trained only with target class features, which is the correct procedure to apply in biometric authentication scenarios. Two types of one-class classifiers were tested, K-Nearest Neighbor and Support Vector Data Description. Two other classifier architectures were also studied, both resulting from the combination of the two previously mentioned classifiers. After testing these classifiers with the features extracted from 70 subjects, the results showed that brain responses to visual stimuli are suitable for an accurate biometric authentication.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 17