@inproceedings{c977b6b92f364df0b5789bfc2a7affe8,
title = "Large-scale image database triage via EEG evoked responses",
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.",
keywords = "Brain computer interface, EEG, Event related potentials, Image triage, Pattern recognition",
author = "Yonghong Huang and Deniz Erdogmus and Santosh Mathan and Misha Pavel",
year = "2008",
month = sep,
day = "16",
doi = "10.1109/ICASSP.2008.4517638",
language = "English (US)",
isbn = "1424414849",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "429--432",
booktitle = "2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP",
note = "2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP ; Conference date: 31-03-2008 Through 04-04-2008",
}