Remapping of touch on a hand-held tool: A classi cation analysis on EEG signals
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2020-07-01
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en
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Abstract
The localisation of touch on tools is done by the human body treating the tool as
an extension of the somatosensory system. This thesis examines this tactile extension
by investigating the temporal course of the tactile remapping on tools. This is done by
conducting Support Vector Machine classi cation on EEG data of a crossed hand-de cit
experiment to nd the timing of the availability of the reference frames used within
tactile remapping on tools. The main motivation for using classi cation on EEG signals
was to see whether evidence for the timing of tactile remapping could be found earlier by
using classi cation to nd patterns embedded within the data that are inaccessible using
traditional neurological methods. The results of the classi cation analysis demonstrated
the similarity of the neural dynamics of tactile remapping on the tools to that of tactile
remapping on the body. The results showed how the timing of tactile mapping found by
traditional neurological methods was able to be pushed back by 10 to 12 milliseconds
using classi cation. This thesis validates the idea of sensory embodiment of tools and
alludes to the potential of classi cation analysis within neurological research.
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Faculteit der Sociale Wetenschappen