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AAWSAP DIRD, Technological Approaches to Controlling External Devices, March 2010

U.S. Department of War · 2010-03-23 · 36 pages · text from the file's own layer

This Defense Intelligence Reference Document was produced by the Defense Intelligence Agency's Defense Warning Office under the Advanced Aerospace Weapon System Applications program and dated 23 March 2010. It surveys noninvasive and invasive brain-machine interface technologies, including EEG, MEG, fMRI, NIRS and implanted electrode arrays, that could control external devices without limb-operated interfaces. It concludes that noninvasive electrical monitoring is the most promising near-term approach. For the long term it favors invasive single-neuron cortical connections.

From the source: Release of 2026-09-18 Incident: 3/23/10, Las Vegas, Nevada. Released with redactions. This document is a Defense Intelligence Reference Document (DIRD), a technical reference format used by the Defense Intelligence Agency (DIA) to capture baseline knowledge on a specific topic for later analytic use. DIRDs are best understood as reference and synthesis products rather than as original research. It is one of 38 DIRDs produced under the Advanced Aerospace Weapon System Applications Program (AAWSAP) between 2009 and 2011. Because AAWSAP’s scope permitted a broad range of supporting topics, not every DIRD in the series directly concerns aerospace systems or future threat assessment. The following summary reflects the DIRD’s scope and framing at the time of writing and should not be read as implying current validation of the concepts discussed. This DIRD surveys brain-machine interface technologies intended to allow users to control external devices without conventional manual controls, and it evaluates both noninvasive and invasive approaches for turning neural or related physiological signals into usable commands. The report reviews the underlying neural signals, distinguishes between open- and closed-loop control systems, and examines technologies including scalp-based electrical recording, magnetic and imaging-based methods, and implanted cortical interfaces, with particular attention to bandwidth, response time, signal quality, and practical usability. It concludes that, in the near term, the most practical systems are likely to be noninvasive electrical approaches that draw heavily on muscle and neural signals, while longer-term high-bandwidth control would likely require more advanced invasive interfaces capable of robust two-way communication with individual neurons. The document presents thought-based control of external devices as a research field with plausible assistive and specialized applications, while emphasizing that naturalistic, high-performance control remained constrained by major technical and physiological limits.

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Commercial EEG sensors
Mindset, by NeuroSky nia, by OCZ Technology
Figure 3. Two Commercially Available EEG Sensors. The Mindset utilizes two sensors, one in the right
earphone and one for placement on the forehead (what looks like a microphone arm is to be pressed against the
forehead). The nia records signals from three sensors on the forehead .
In a documented and peer-reviewed study, Popescu and colleagues have shown a
system that uses 6 dry electrodes and is 90 percent accurate in operation of a 1-D
cursor by untrained subjects. Additionally, a measurement of error rates as a function
of number of electrodes show that an increase to 12 electrodes could drop the error
rate to around 5 percent, but that additional electrodes much beyond a dozen do not
significantly improve the accuracy of their algorithm (Reference 28).
MEG
MEG-based BMI systems have been shown to be feasible utilizing a subject imagining
limb movements for binary decisions (References 29, 30). Future work could improve
the methodology to parallel that achieved with EEG; however, there are significant
technological hurdles to a field deployment of MEG. The magnetic fields from neural
activity are detected with very sensitive devices called superconducting quantum
interference devices, or SQUIDs. These detectors are sensitive to the neural activity
induced 100 fT (femtoTesla) changes near the scalp. SQUIDs only operate at very low
temperatu res thus requiring a cryogenic system as well significant detection and
amplification electronics. The availability of a cold sink and high vacuum, such as in a
space-based application, could reduce the support system overhead, but there is still
the matter of the weakness of the signals. Even if future detector development like
atomic magnetometers would solve the equipment overhead issue for Earthbound
application, the fact that 100 fT is about 100 million times smaller than the Earth's
magnetic field will prove an insurmountable barrier to sifting signal from noise in
anything but a heavily-shielded, metal-free environment. Attempts have been made to
use High -Tc superconductors as a shielding material with some success (Reference 31),
but significant further development is needed.
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Official release, from the pursue collection. The PDF is mirrored here; the original link is above. 36 pages are in the text index: search them above, or from the library's search.