Man/machine interaction through EEG
MetadataVis full innførsel
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.