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