Enhanced decision making through neuroscience

Harold Szu; TP Jung; Scott Makeig

doi:10.1117/12.926424

15 May 2012 Enhanced decision making through neuroscience

Harold Szu, TP Jung, Scott Makeig

Proceedings Volume 8401, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X; 840112 (2012) https://doi.org/10.1117/12.926424
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

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 [Φ_s], rather than the traditional purely random compressive sensing (CS) matrix[Φ].

Citation Download Citation

Harold Szu, TP Jung, and Scott Makeig "Enhanced decision making through neuroscience", Proc. SPIE 8401, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X, 840112 (15 May 2012); https://doi.org/10.1117/12.926424

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