![](bg6.png)
Figure 7: Error rate curves.
4 CONCLUSIONS
Assuming driver authentication as one of applications
based on on-demandoperator authentication,we mea-
sured EEGs of drivers when they were route-tracing.
And we evaluated verification performance using the
difference between the power spectrum at α-β band in
relaxed condition and that in mental-tasked condition
as an individual feature. Using 12 subjects, we ob-
tained the best EER of 31 % when the scores in 11-14
Hz and 14-17 Hz are combined.
However, the performance is not high enough to
conclude that the authentication using the brain wave
is ready for practical use. There are many problems
to be overcome. We are now assembling the database
of the brain wave using large number of subjects and
evaluating the verification performance. It is also a
problem to introduce more powerful method into ver-
ification. In the future, it is necessary to evaluate
not only verification performance but also usability in
the on-demand authentication system using the brain
wave.
ACKNOWLEDGEMENTS
A part of this work was supported by the Support
Center for Advanced Telecommunications Technol-
ogy Research, Foundation (SCAT) in Japan.
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