SSVEP-based BCI control for navigating a robot
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2013-12-31
Language
en
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Abstract
Controlling devices without psychical contact is an important aspect
of paralyzed people, operators who need to handle multiple controls and
those missing limbs caused by an accident. Speech recognition can work
for some, but is not efficient in noisy areas. BCI systems using imagined
movement can overcome this, but it is tiring to keep a constant imagined
state that is mentally clear enough for the system to detect. Steady-state
visually evoked potentials (SSVEPs) are known to induce a clear signal for
a BCI system to trigger external devices or mechanics. This way, someone
can control a mobile device by merely looking at a particular target on
the device.
This research will answer the question of how BCI performance behaves
over larger distances (>100 cm). More specific, we designed an
experiment that would test how both the user-stimulus distance and orientation
of the stimuli would affect SSVEP BCI performance. For this
we used a Lego robot application to navigate a multiple-turn track. Performance
rates during navigation varied between 59.0%-70.4% with large
differences in completion times among participants. As our question remained
unanswered, we conducted a second experiment with a focus on
measuring the relation between user-stimulus distance and SSVEP BCI
performance. Results show a relatively stable signal for non-target stimuli,
while the target stimulus showed a decrease in frequency amplitude
over distance. The majority of the obtained results shows a significant
correlation between the distance, which is related to the visual angle, and
the amplitude of the stimulated frequency.
Keywords: BCI, brain-computer interface, SSVEP, steady-state visually
evoked potential, LED, distance, visual angle, LEGO robot.
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Faculteit der Sociale Wetenschappen