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- W2897799882 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." @default.
- W2897799882 created "2018-10-26" @default.
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- W2897799882 date "2018-01-01" @default.
- W2897799882 modified "2023-09-25" @default.
- W2897799882 title "Design of a BCI Controlled Serious Game for Concentration Training" @default.
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- W2897799882 doi "https://doi.org/10.1007/978-3-030-02762-9_17" @default.
- W2897799882 hasPublicationYear "2018" @default.
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