
Proceedings Paper
Visual attention distracter insertion for improved EEG rapid serial visual presentation (RSVP) target stimuli detectionFormat | Member Price | Non-Member Price |
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Paper Abstract
This paper† describes a technique in which we improve upon the prior performance of the Rapid Serial Visual Presentation
(RSVP) EEG paradigm for image classification though the insertion of visual attention distracters and overall sequence
reordering based upon the expected ratio of rare to common “events” in the environment and operational context. Inserting
distracter images maintains the ratio of common events to rare events at an ideal level, maximizing the rare event detection
via P300 EEG response to the RSVP stimuli. The method has two steps: first, we compute the optimal number of distracters
needed for an RSVP stimuli based on the desired sequence length and expected number of targets and insert the distracters
into the RSVP sequence, and then we reorder the RSVP sequence to maximize P300 detection. We show that by reducing
the ratio of target events to nontarget events using this method, we can allow RSVP sequences with more targets without
sacrificing area under the ROC curve (azimuth).
Paper Details
Date Published: 2 May 2017
PDF: 8 pages
Proc. SPIE 10200, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI, 102000Y (2 May 2017); doi: 10.1117/12.2262913
Published in SPIE Proceedings Vol. 10200:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI
Ivan Kadar, Editor(s)
PDF: 8 pages
Proc. SPIE 10200, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI, 102000Y (2 May 2017); doi: 10.1117/12.2262913
Show Author Affiliations
Kevin Martin, HRL Labs., LLC (United States)
Published in SPIE Proceedings Vol. 10200:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI
Ivan Kadar, Editor(s)
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