Large-scale image database triage via EEG evoked responses

Yonghong Huang, Deniz Erdogmus, Santosh Mathan, Misha Pavel

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

19 Scopus citations

Abstract

This paper describes an approach for target image search using human brain signals generated by perceptual processes in the brain. The human brain generates event related potentials (ERPs) in response to critical events, such as interesting/novel visual stimuli in the form of a target image. In this paper, we describe experiments involving six professional image analysts and summarize the ERP detection performance as they search for targets within a large image database. We develop a disjoint windowing scheme for data preprocessing to discard irrelevant and redundant information from the raw data to get clean training data. We apply support vector machines to detect ERPs and conduct 10-fold cross validation for parameter regularization. The results demonstrate that the ERP pattern recognition can provide reliable inference for image triage.

Original languageEnglish (US)
Title of host publication2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages429-432
Number of pages4
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States
Duration: Mar 31 2008Apr 4 2008

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Country/TerritoryUnited States
CityLas Vegas, NV
Period3/31/084/4/08

Keywords

  • Brain computer interface
  • EEG
  • Event related potentials
  • Image triage
  • Pattern recognition

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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