Classifying Shapes Made by Continuous Hand Movements Using EEG and the LEAP Motion
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2014-08-29
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en
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Abstract
Bradberry et al. have shown that electroencephalography (EEG) can be
used for reconstructing hand-movements. In this paper, we researched if it
is possible to classify shapes that are drawn at different paces. We have
made use of the Leap Motion controller, a device that can track hand- and
finger-movements. We explored the controller to see if it can be used in
3D movement experiments. We found that there is interference with solid
objects and checked the inconsistency of the sampling frequency as stated
by Guna et al. [1]. For the classification of the shapes we used two cases:
a general case with all paces combined and a separated case where all paces
were analyzed separately. We found that for the EEG in the general case
only one shape had performances significantly better than chance and in the
separated case only one pace was significantly better than chance. We also
found that the Leap Motion controller has some flaws that make it difficult
for using in 3D movement experiments.
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Faculteit der Sociale Wetenschappen