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Single-Trial Event-Related Potential Based Rapid Image Triage System

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Author(s): Ke Yu | Kaiquan Shen | Shiyun Shao | Wu Chun Ng | Xiaoping Li | Kenneth Kwok

Journal: Journal of Systemics, Cybernetics and Informatics
ISSN 1690-4532

Volume: 9;
Issue: 3;
Start page: 8;
Date: 2011;
Original page

Keywords: Erp | Rapid Image Triage | Single-Trial And Common Spatio-Temporal Pattern | Real-Time

ABSTRACT
Searching for points of interest (POI) in large-volume imagery is a challenging problem with few good solutions. In this work, a neural engineering approach called rapid image triage (RIT) which could offer about a ten-fold speed up in POI searching is developed. It is essentially a cortically-coupled computer vision technique, whereby the user is presented bursts of images at a speed of 6–15 images per second and then neural signals called event-related potential (ERP) is used as the ‘cue’ for user seeing images of high relevance likelihood. Compared to past efforts, the implemented system has several unique features: (1) it applies overlapping frames in image chip preparation, to ensure rapid image triage performance; (2) a novel common spatial-temporal pattern (CSTP) algorithm that makes use of both spatial and temporal patterns of ERP topography is proposed for high-accuracy single-trial ERP detection; (3) a weighted version of probabilistic support-vector-machine (SVM) is used to address the inherent unbalanced nature of single-trial ERP detection for RIT. High accuracy, fast learning, and real-time capability of the developed system shown on 20 subjects demonstrate the feasibility of a brainmachine integrated rapid image triage system for fast detection of POI from large-volume imagery.
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