Multi-brain fusion and applications to intelligence analysis

A. Stoica; A. Matran-Fernandez; D. Andreou; R. Poli; C. Cinel; Y. Iwashita; C. Padgett

doi:10.1117/12.2016456

29 May 2013 Multi-brain fusion and applications to intelligence analysis

A. Stoica, A. Matran-Fernandez, D. Andreou, R. Poli, C. Cinel, Y. Iwashita, C. Padgett

Proceedings Volume 8756, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2013; 87560N (2013) https://doi.org/10.1117/12.2016456
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

In a rapid serial visual presentation (RSVP) images are shown at an extremely rapid pace. Yet, the images can still be parsed by the visual system to some extent. In fact, the detection of specific targets in a stream of pictures triggers a characteristic electroencephalography (EEG) response that can be recognized by a brain-computer interface (BCI) and exploited for automatic target detection. Research funded by DARPA's Neurotechnology for Intelligence Analysts program has achieved speed-ups in sifting through satellite images when adopting this approach. This paper extends the use of BCI technology from individual analysts to collaborative BCIs. We show that the integration of information in EEGs collected from multiple operators results in performance improvements compared to the single-operator case.

Citation Download Citation

A. Stoica, A. Matran-Fernandez, D. Andreou, R. Poli, C. Cinel, Y. Iwashita, and C. Padgett "Multi-brain fusion and applications to intelligence analysis", Proc. SPIE 8756, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2013, 87560N (29 May 2013); https://doi.org/10.1117/12.2016456

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