| Image Source/Credit |
Pages Appears on |
|---|
| https://www.nsf.gov/news/mmg/mmg_disp.jsp?med_id=70879&from= John Consoli, University of Maryland (https://osc.umd.edu/team/) |
About Science & Technology |
| Army Times Publishing Co. in 2008, “Land Warrior” Graphic |
About Science & Technology |
| Adelphi Laboratory Center, MD (Photo Credit: U.S. Army Photo) https://www.army.mil/e2/c/images/2014/05/27/346867/original.jpg |
About |
| Kostas Institute for Homeland Security (Photo Credit: Northeastern University) https://www.northeastern.edu/cri/missile-base-start-space-northeastern-incubates-resilience/ |
About ARL Northeast |
| ARL Cognitive Assessment, Simulation, and Engineering Laboratory (CASEL), VirTra Simulator (ARL-Owned Image) |
About Intelligent Squad Weapons CASEL |
| Warfighter Machine Interface with Overlays; Evans, 2013 (http://www.dtic.mil/dtic/tr/fulltext/u2/a587692.pdf) |
Science & Technology Soldiers Understanding Agents |
| Internet of Battlefield Things (US Army Illustration) Kott, 2018 (https://arxiv.org/abs/1803.11256) |
Science & Technology Adaptive Teaming |
| Miscellaneous Warfighter Machine Interface and Crewstation Images (US Army Research Lab Owned) |
Science & Technology Soldiers Understanding Agents Vehicle Crew |
| Future Mind Interface https://www.activistpost.com/2018/07/darpa-mind-control-troops-weapons.html |
Science & Technology Agents Understanding Soldiers |
| Autonomous Squad Member Interface (Photo Credit: Dr. Jessie Chen) https://www.arl.army.mil/www/default.cfm?article=3141 |
Soldiers Understanding Agents |
| Brain computer chip concept are (Image: Shutterstock) https://www.arl.army.mil/www/default.cfm?article=3179 |
Agents Understanding Soldiers |
| Training an Agent Manually via Evaluative Reinforcement (U.S. Army Graphic) https://www.arl.army.mil/www/default.cfm?article=3161 |
Adaptive Teaming |
| Miscellaneous ARL-owned laboratory Images |
Intelligent Squad Weapons INFORMS Lab MIND Lab |
| Wordcloud Art Created at https://www.wordclouds.com/ |
Team |
| "Creative Commons Drone SVG Vector" by SVG Repo is licensed under CC BY-NC "Creative Commons Moon Rover Vector SVG" by SVG Repo is licensed under CC BY-NC "Silhouette Soldier Gun" by Mohamed Hassan is licensed under CC0 "Silhouette Soldier Armour" by Mohamed Hassan is licensed under CC0 "Tanks icon" by shareicon.net |
HOME |
| "Creative Commons US East Temples Outline Map" by Shereth is licensed under CC BY-SA 3.0 |
Innovation Hubs |
| "Light Bulb 6" by Simple Icon |
Innovation Commons |
| "EEG Cap" by The Noun Project is licensed under CC0 |
MIND Lab |
| https://www.sciencedirect.com/science/article/pii/S1053811919309528 Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies (2020). N Bigdely-Shamlo, J Touryan, A Ojeda, C Kothe, T Mullen, K Robbins. NeuroImage 207, 116361. (top figure) |
Advanced Computational Approaches |
| https://ieeexplore.ieee.org/abstract/document/8278173 Garcia, J. O., Ashourvan, A., Muldoon, S., Vettel, J. M., & Bassett, D. S. (2018). Applications of community detection techniques to brain graphs: Algorithmic considerations and implications for neural function. Proceedings of the IEEE, 106(5), 846-867. (bottom figure) |
Advanced Computational Approaches |
| https://www.frontiersin.org/articles/10.3389/fnhum.2019.00201/full Decoding P300 Variability using Convolutional Neural Networks (2019). AJ Solon, VJ Lawhern, JO Touryan, JR McDaniel, AJ Ries, SM Gordon. Frontiers in Human Neuroscience 13, 201 (left image) |
Brain Computer Interaction |
| https://ieeexplore.ieee.org/abstract/document/8856761 Lapborisuth, P., Faller, J., Koss, J., Waytowich, N. R., Touryan, J., & Sajda, P. (2019, July). Investigating evoked EEG responses to targets presented in virtual reality. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 5536-5539). IEEE. (top, right image) |
Brain Computer Interaction |
| https://ieeexplore.ieee.org/abstract/document/8616018 Kothe, C., Mullen, T., & Makeig, S. (2018, October). STRUM: A New Dataset for Neuroergonomics Research. In 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 77-82). IEEE. (bottom, tight image) |
Brain Computer Interaction |
| https://link.springer.com/chapter/10.1007/978-3-319-94223-0_12 Vettel, J. M., Lauharatanahirun, N., Wasylyshyn, N., Roy, H., Fernandez, R., Cooper, N., ... & Garcia, J. O. (2018, July). Translating driving research from simulation to interstate driving with realistic traffic and passenger interactions. In International Conference on Applied Human Factors and Ergonomics (pp. 126-138). Springer, Cham. (top right image) |
Real World Neuroscience |
| https://www.mdpi.com/1424-8220/18/4/1073 Symeonidou, E. R., Nordin, A. D., Hairston, W. D., & Ferris, D. P. (2018). Effects of cable sway, electrode surface area, and electrode mass on electroencephalography signal quality during motion. Sensors, 18(4), 1073. |
Real World Neuroscience |
| https://www.frontiersin.org/articles/10.3389/fnhum.2015.00639/full Snyder, K. L., Kline, J. E., Huang, H. J., & Ferris, D. P. (2015). Independent component analysis of gait-related movement artifact recorded using EEG electrodes during treadmill walking. Frontiers in human neuroscience, 9, 639. (bottom left) |
Real World Neuroscience
|
| https://doi.org/10.1117/12.2564515 Lance, B. J., Larkin, G. B., Touryan, J. O., Rexwinkle, J. T., Gutstein, S. M., Gordon, S. M., ... & Lawhern, V. J. (2020, April). Minimizing data requirements for soldier-interactive AI/ML applications through opportunistic sensing. In Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II (Vol. 11413, p. 1141306). International Society for Optics and Photonics. |
Transition: TACK |
| https://www.hiclipart.com/ |
Vision |
