Man/machine interaction through EEG
Bachelor thesis
Permanent lenke
http://hdl.handle.net/11250/302077Utgivelsesdato
2015Metadata
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Sammendrag
This report has the objective of describing the process of creating a virtual reality game
environment that allows the user to practice BCI (Brain Computer Interface) through
controlling a BCI enabled wheelchair. It serves as a training platform for those who could
possibly need a brain controlled wheelchair. The report also contains technical information
on how various technologies such as Emotiv Epoc, A*, EEG (electroencephalography) and
Unity 3D work. The work is inspired by a condition known as ALS or Lou Gehrig's
disease which gradually leaves the patient in a state of complete paralysis, this means
conventional electronic wheelchairs won't be sufficient. With this in mind and the fact that
BCI has emerged in recent years, the group is able to investigate future possibilities. To
conclude the work the group investigated the process Emotiv would use to distinguish
independent cognitive states.
The result is an open world game environment which allows subjects to train and, become
familiar with the equipment and the technology. In addition, during the BCI investigation
the group discovered that it was possible to discern and classify different cognitive states
via EEG using a neural network.