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Kelvin S. Oie

Affiliations: 
Human Research & Engineering Directorate Us Army Research Laboratory, Adelphi, MD, United States 
Area:
Cognitive Neuroscience, Multisensory integration, Vision
Google:
"Kelvin Oie"
Mean distance: 15.63 (cluster 23)
 
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Parents

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Children

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Tracy Jill Doty post-doc 2012-2014 Us Army Research Laboratory

Collaborators

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Norbou E. Buchler collaborator U.S. Army Research Laboratory
Kaleb G. McDowell collaborator Us Army Research Laboratory
Jason S. Metcalfe collaborator 1997- University of Maryland
Ethan R. Buch collaborator 1999-2002 University of Maryland
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Publications

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Metcalfe JS, Gordon SM, Passaro AD, et al. (2015) Towards a translational method for studying the influence of motivational and affective variables on performance during human-computer interactions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9183: 63-72
Doty TJ, Hairston WD, Kellihan B, et al. (2013) Developing a wearable real-world neuroimaging system to study stress International Ieee/Embs Conference On Neural Engineering, Ner. 786-789
Mcdowell K, Lin CT, Oie KS, et al. (2013) Real-world neuroimaging technologies Ieee Access. 1: 131-149
Lance BJ, Kerick SE, Ries AJ, et al. (2012) Brain-computer interface technologies in the coming decades Proceedings of the Ieee. 100: 1585-1599
Oie KS, Gordon S, McDowell K. (2012) The multi-aspect measurement approach: Rationale, technologies, tools, and challenges for systems design Designing Soldier Systems: Current Issues in Human Factors. 217-247
Gramann K, Gwin JT, Ferris DP, et al. (2011) Cognition in action: imaging brain/body dynamics in mobile humans. Reviews in the Neurosciences. 22: 593-608
Metcalfe JS, Larkin GB, Johnson T, et al. (2010) Experimentation and evaluation of threat detection and local area awareness using advanced computational technologies in a simulated military environment Proceedings of Spie - the International Society For Optical Engineering. 7692
Wu D, Courtney CG, Lance BJ, et al. (2010) Optimal arousal identification and classification for affective computing using physiological signals: Virtual reality stroop task Ieee Transactions On Affective Computing. 1: 109-118
McDowell K, Oie KS, Crabb BT, et al. (2009) The Need for Cognitive Engineering in the United States Army Insight. 12: 7-10
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