DocumentCode :
2135230
Title :
Improving accuracy in person lineups and identification via brain-computer interfaces
Author :
Glettler, Martin ; Grechenig, Thomas
Author_Institution :
INSO Res. group - Moving Thoughts, Inst. of Comput. Aided Autom., Vienna, Austria
fYear :
2013
fDate :
23-25 July 2013
Firstpage :
307
Lastpage :
311
Abstract :
Person identification is a complex task. Since the results of this task are used in jurisdiction the aim is to enhance the accuracy of person lineups. We do this by analyzing the brain waves and affective states of witnesses. Based on the research in psychology, the new brain-computer-interface (BCI) technology based approach can lead to a major improvement in accuracy and result in a reduction of false positives and false convictions by filtering specific patterns of recognition in electroencephalography (EEG) data.
Keywords :
brain-computer interfaces; electroencephalography; filtering theory; medical signal processing; BCI technology based approach; EEG data; accuracy improvement; brain-computer interfaces; brainwaves; electroencephalography data; false convictions; false positives; pattern filtering; person identification; person lineups; psychology; Accuracy; Brain-computer interfaces; Electrodes; Electroencephalography; Pattern recognition; Psychology; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location :
Shenyang
Type :
conf
DOI :
10.1109/ICNC.2013.6817991
Filename :
6817991
Link To Document :
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