Concealed face recognition analysis based on Recurrence Plots

Author

Mehrnam, A.H. ; Nasrabadi, A. Motei ; Mohammadian, A. ; Torabi, Sh

Author_Institution

Biomed. Eng., Shahed Univ., India

fYear

2011

fDate

14-16 Dec. 2011

Firstpage

1

Lastpage

4

Abstract

In this study we have used Recurrence Plots (RPs) in order to discriminate between guilty and innocent subjects, using their single-trial ERPs. Data were recorded during the Guilty Knowledge Test (GKT). The results from 49 subjects who participated in concealed face recognition test indicate that amplitude of some RQA variables in guilty subjects are significantly higher than innocent ones, around 300ms (P<;0.05). Increment of these RQA variables are relating to complexity reduction of brain´s system, during familiar face recognition. Also, results show that appearance of the P300 component can increase determinism and synchronization, in brains´ signals.

Keywords

brain; data acquisition; data recording; electroencephalography; face recognition; medical signal processing; synchronisation; EEG; RQA variables; brain signal system; concealed face recognition analysis; data acquisition; data recording; guilty knowledge test; recurrence plots; synchronization; Biomedical engineering; Complexity theory; Electroencephalography; Electronic mail; Face recognition; Probes;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering (ICBME), 2011 18th Iranian Conference of

Conference_Location

Tehran

Print_ISBN

978-1-4673-1004-8

Type

conf

DOI

10.1109/ICBME.2011.6168556

Filename

6168556