• 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