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Proceedings Paper

Enhanced decision making through neuroscience
Author(s): Harold Szu; TP Jung; Scott Makeig
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Paper Abstract

We propose to enhance the decision making of pilot, co-pilot teams, over a range of vehicle platforms, with the aid of neuroscience. The goal is to optimize this collaborative decision making interplay in time-critical, stressful situations. We will research and measure human facial expressions, personality typing, and brainwave measurements to help answer questions related to optimum decision-making in group situations. Further, we propose to examine the nature of intuition in this decision making process. The brainwave measurements will be facilitated by a University of California, San Diego (UCSD) developed wireless Electroencephalography (EEG) sensing cap. We propose to measure brainwaves covering the whole head area with an electrode density of N=256, and yet keep within the limiting wireless bandwidth capability of m=32 readouts. This is possible because solving Independent Component Analysis (ICA) and finding the hidden brainwave sources allow us to concentrate selective measurements with an organized sparse source →s sensing matrix [Φs], rather than the traditional purely random compressive sensing (CS) matrix[Φ].

Paper Details

Date Published: 15 May 2012
PDF: 9 pages
Proc. SPIE 8401, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X, 840112 (15 May 2012); doi: 10.1117/12.926424
Show Author Affiliations
Harold Szu, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
TP Jung, Univ. of California, San Diego (United States)
Scott Makeig, Univ. of California, San Diego (United States)


Published in SPIE Proceedings Vol. 8401:
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X
Harold Szu, Editor(s)

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