A fusion approach for image triage using single trial ERP detection

Yonghong Huang, Deniz Erdogmus, Santosh Mathan, Misha Pavel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

This paper addresses the problem of conducting visual target search on a large set of images. We use Electroencephalography to detect targets and apply a fusion approach combining neurophysiologic signals and overt physical responses to achieve high target detection accuracy We conducted an experimental evaluation of the method using trained human experts to find target objects in broad area satellite images. Based on the fusion results, we applied spatial target likelihood maps to present the estimated target locations in the images. The results demonstrate the efficacy of the method on multiple subjects.

Original languageEnglish (US)
Title of host publicationProceedings of the 3rd International IEEE EMBS Conference on Neural Engineering
Pages473-476
Number of pages4
DOIs
StatePublished - Sep 25 2007
Event3rd International IEEE EMBS Conference on Neural Engineering - Kohala Coast, HI, United States
Duration: May 2 2007May 5 2007

Publication series

NameProceedings of the 3rd International IEEE EMBS Conference on Neural Engineering

Other

Other3rd International IEEE EMBS Conference on Neural Engineering
CountryUnited States
CityKohala Coast, HI
Period5/2/075/5/07

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Neuroscience (miscellaneous)

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  • Cite this

    Huang, Y., Erdogmus, D., Mathan, S., & Pavel, M. (2007). A fusion approach for image triage using single trial ERP detection. In Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering (pp. 473-476). [4227317] (Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering). https://doi.org/10.1109/CNE.2007.369712