• DocumentCode
    1823120
  • Title

    A 3-D immersive environment for characterizing EEG signatures of target detection

  • Author

    Jangraw, D.C. ; Sajda, P.

  • Author_Institution
    Dept. of Biomed. Eng., Columbia Univ., New York, NY, USA
  • fYear
    2011
  • fDate
    April 27 2011-May 1 2011
  • Firstpage
    229
  • Lastpage
    232
  • Abstract
    Visual target detection is one of the most studied paradigms in human electrophysiology. Electroencephalo-graphic (EEG) correlates of target detection include the well-characterized N1, P2, and P300. In almost all cases the experimental paradigms used for studying visual target detection are extremely well-controlled - very simple stimuli are presented so as to minimize eye movements, and scenarios involve minimal active participation by the subject. However, to characterize these EEG correlates for real-world scenarios, where the target or the subject may be moving and the two may interact, a more flexible paradigm is required. The environment must be immersive and interactive, and the system must enable synchronization between events in the world, the behavior of the subject, and simultaneously recorded EEG signals. We have developed a hardware/software system that enables us to precisely control the appearance of objects in a 3D virtual environment, which subjects can navigate while the system tracks their eyes and records their EEG activity. We are using this environment to investigate a set of questions which focus on the relationship between the visibility, salience, and affect of the target; the agency and eye movements of the subject; and the resulting EEG signatures of detection. In this paper, we describe the design of our system and present some preliminary results regarding the EEG signatures of target detection.
  • Keywords
    electroencephalography; medical signal detection; object detection; 3D immersive environment; 3D virtual environment; EEG signature; electroencephalography; human electrophysiology; synchronization; visual target detection; Brain modeling; Computers; Electroencephalography; Image color analysis; Object detection; Three dimensional displays; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering (NER), 2011 5th International IEEE/EMBS Conference on
  • Conference_Location
    Cancun
  • ISSN
    1948-3546
  • Print_ISBN
    978-1-4244-4140-2
  • Type

    conf

  • DOI
    10.1109/NER.2011.5910529
  • Filename
    5910529