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Brain–Computer Interfaces - Index of

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276 J. Mellinger and G. Schalk<br />

number <strong>of</strong> measurement stations at different sites; maintaining an overview <strong>of</strong> a<br />

cooperation project’s progress; managing aspects <strong>of</strong> quality control; and managing<br />

and analyzing <strong>of</strong> large amounts <strong>of</strong> data at virtually no extra cost when compared to<br />

single-site projects.<br />

4 Research Trajectories<br />

In conclusion, we would like to review how research activities discussed in this<br />

chapter may be combined to form paths <strong>of</strong> research, or research trajectories. In<br />

Fig. 10, smooth transitions between research activities as supported by BCI2000 are<br />

indicated by arrows. Potential BCI2000 users may become familiar with the system<br />

in the “classroom” scenario. From this, a number <strong>of</strong> research trajectories are possible<br />

when following the arrows. All <strong>of</strong> these scenarios may pr<strong>of</strong>it from BCI2000’s<br />

existing components, and from its advantages in multiple-site settings as discussed<br />

in the previous section.<br />

All suggested trajectories may begin with the “classroom” scenario, and then<br />

progress into one <strong>of</strong> three main directions <strong>of</strong> research. As a first direction, shifting<br />

research focus from BCI research to psychophysiological experiments in general<br />

may pr<strong>of</strong>it from available BCI2000 knowledge when BCI2000 is used to<br />

perform such experiments. As a second direction <strong>of</strong> research, development <strong>of</strong><br />

real-world BCI applications may pr<strong>of</strong>it from using BCI2000 to first establish a<br />

reliable BCI, and then connect it to external s<strong>of</strong>tware, or devices. Similarly, the<br />

third area <strong>of</strong> research, development <strong>of</strong> signal processing algorithms, may pr<strong>of</strong>it<br />

from a development circle in which first data is recorded in BCI experiments using<br />

a standard algorithm; then, an improved algorithm is tested <strong>of</strong>f-line on existing<br />

data; finally the improved algorithm is applied in an on-line setting to prove its<br />

viability.<br />

In summary, BCI2000 is well suited as a platform to enter the area <strong>of</strong> BCI<br />

research, and to then further specialize on research into a number <strong>of</strong> research<br />

directions.<br />

Stimulation<br />

Experiments<br />

Classroom<br />

BCI Experiments<br />

Real-World<br />

Applications<br />

Algorithm<br />

Development<br />

Fig. 10 Research scenarios and trajectories. Starting with the classroom scenario, smooth<br />

transitions into a number <strong>of</strong> BCI research areas are possible

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