Design of a BCI Controlled Serious Game for Concentration Training
Key: GDG18-1
Author: Augusto Garcia-Agundez, Eduard Dobermann, Stefan Göbel
Date: November 2018
Kind: In proceedings
Publisher: Springer
Book title: Joint International Conference on Serious Games
Abstract: The goal of this work is to design a BCI that can then be used to control a serious game for concentration training. A 32-Electrode cap system was used, in addition to a bandpass and notch filter, t-SNE dimension reduction, standard deviation outlier detection as well as a SVM classifier. A maximum classification accuracy of 80% was achieved when using a four class classification system. Our BCI-Controlled Serious Game is viable and we thus plan to evaluate our application in a pilot test.
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