2010 Neuroscience Director's Strategic Initiative

Report No. ARL-TR-5457
Authors: Scott Kerick, Anthony J. Ries, Kelvin Oie, Tzyy-Ping Jung, Jeng-ren Duann, Jin-Chern Chiou, Liyi Dai, and Kaleb McDowell
Date/Pages: February 2011; 42 pages
Abstract: Understanding how Soldiers' cognitive abilities meet the increasing demands of dynamic, complex, and stressful environments is critical for the development of systems that optimize mission effectiveness and maximize Soldier survivability. In order to acquire, monitor, and assess Soldier sensory, perceptual, emotional, cognitive, and physical performance within realistic operational environments, new technologies must be further developed to enable sensing capabilities in these dynamic environments, and innovative research paradigms and data analysis methods must be enhanced, validated, and transitioned into system designs. Thus, the 2010 Neuroscience Director's Strategic Initiative (DSI) research aims to advance neuroscientific methodologies and technologies to enable revolutionary advances in Soldier-system performance by integrating modern neuroscience with human factors, psychology, and engineering. This report covers three independent projects supporting this effort. First, Tzyy-Ping Jung and colleagues (University of California, San Diego) present their advances in developing a neuroimaging system comprised of electro-optode sensors for simultaneous recording of electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) from Soldiers in operational environments. Second, Anthony Ries and Kaleb McDowell (U.S. Army Research Laboratory [ARL]) outline their testing and evaluation of a brain state classification algorithm from EEG data acquired from participants performing tasks with varied cognitive demands. Third, Kaleb McDowell, Scott Kerick, and Kelvin Oie (ARL) report on their implementation of a new nonlinear signal processing algorithm on EEG data acquired from participants performing a task in noisy environments.
Distribution: Approved for public release
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Last Update / Reviewed: February 1, 2011