• DocumentCode
    3196736
  • Title

    ERP component analysis for rapid image searching in finer categories

  • Author

    Siyuan Xiao ; Bangyu Cai ; Lei Jiang ; Yiweng Wang ; Weidong Chen ; Xiaoxiang Zheng

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Zhejiang Univ., Hangzhou, China
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    3089
  • Lastpage
    3092
  • Abstract
    Event-related potentials (ERP)-based image triage (or search) in the context of Rapid Serial Visual Presentation (RSVP) exploits difference in the human brain response to target and distracted stimuli in the form of an image. So far, most paradigms focus on image triage (or search) among rough object categories. In this paper, we explored the possibility and effectiveness of target detection among finer categories like different animals. We analyzed on the difference of ERP components in two image search tasks, a simple-recognition task in which all images of a target are the same and a discriminative-recognition task in which all images are randomly different but belong to the same target category (the same kind of animal). We observed that the P3 amplitude reduced and the P3 latency delayed on the discriminative-recognition condition due to the increased difficulty of identifying different images belonging to the same category. But the average area under ROC curve reached 0.82 which indicated that rapid target detection among finer categories by single-trial ERP were feasible with trivial contribution of N1 and stable contribution of N2 and P3.
  • Keywords
    electro-oculography; electroencephalography; medical signal processing; pattern recognition; sensitivity analysis; P3 amplitude; P3 latency delay; ROC curve; discriminative-recognition task; electroencephalography; electrooculography; event-related potential component analysis; event-related potentials-based image triage; finer categories; human brain response; image search tasks; rapid image searching; rapid serial visual presentation; rapid target detection; rough object categories; simple-recognition task; target detection effectiveness; Animals; Classification algorithms; Educational institutions; Electrodes; Electroencephalography; Object detection; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6610194
  • Filename
    6610194